ActEV Sequestered Data Leaderboard (SDL) 2020/2019
- March 01, 2020: The ActEV 2020 SDL opens with the expanded MEVA Test3 dataset
- March 01, 2020: ActEV 2020 SDL is a guest task under ActivityNet CVPR'20 ActivityNet workshop
-
May 17, 2020
May 10, 2020at 12:00 noon EST: New Deadline for CLI submissions to be included in ActEV SDL ActivityNet rankings. Top two submissions to be announced on June 1, 2020. - June 14, 2020: CVPR'20 ActivityNet workshop ActEV SDL guest task presentations
- April 28th, 2020: CLI submissions deadline extended to May 17th, 2020 at 12:00 noon EST
The sequestered data is from the MEVA dataset, which contains hours of videos, including indoor and outdoor scenes, night and day, crowds and individuals, and videos are from both EO (Electro-Optical) and IR (Infrared) sensors. Hours can go by with no activities, but then multiple activities happen simultaneously. The data is multi-camera, in that multiple cameras may be pointed at the same scene at the same time. There are also two separate leaderboards for EO and IR videos.
The ActEV SDL evaluation is based on the Multiview Extended Video with Activities (MEVA) dataset (mevadata.org) collected at the Muscatatuck Urban Training Center with a team of over 100 actors performing in various scenarios. The data was built by the Intelligence Advanced Research Projects Activity (IARPA) Deep Intermodal Video Analytics (DIVA) program to support activity detection in multi-camera environments for both DIVA performers and the broader research community.
The MEVA dataset has two parts: the public training and development data and sequestered evaluation data used only by NIST to test systems. The data is accompanied by activity annotations.
The MEVA data GIT repo is the data distribution mechanism for MEVA Related annotations and documentation. The repo presently consists of schemas for the activity annotations https://gitlab.kitware.com/meva/meva-data-repo.
The ActEV data GIT repo, is the data distribution mechanism for the ActEV evaluation. The repo presently consists of a collection of corpora and partition definition files to be used for the evaluations https://gitlab.kitware.com/actev/actev-data-repo.
Update June 3, 2020: Reported scores for all submissions on the ActEV2020 leaderboards were revised using the ActEV_SDL_V2 scoring protocol which slightly decreased all error rates.
SDL20-scoring-EO
RANK | SCORING_SUBMISSION_ID | SCORING REQUEST NAME | TEAM NAME | SUBMISSION ID | SUBMISSION DATE | SYSTEM NAME | SYSTEM ID | SCORING PROTOCOL | PARTIAL AUDC* | TIME LIMITED PARTIAL AUDC* | RELATIVE PROCESSING TIME | DETECTED ACTIVITY TYPES† | PROCESSED FILES‡ | MEAN-P_MISS@0.04TFA | TIME LIMITED MEAN-P_MISS@0.04TFA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 21907 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00290_INF_20200802-111248-0247.sr-20200802-111248-6519 | INF | submission_description/21756|21756 | 2020-07-27 | set3 | 290 | ActEV_SDL_V2 | 0.35042 | 0.570 | 100% | 100% | 0.43284 | ||
2 | 22213 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00346_TeamVision2_20200917-045128-0151.sr-20200917-045129-0454 | TeamVision2 | submission_description/22212|22212 | 2020-09-14 | dummy_test | 346 | ActEV_SDL_V2 | 0.35362 | 0.590 | 100% | 100% | 0.46523 | ||
3 | 21562 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200723-223132-7371.sr-20200723-223133-0801 | IBM-MIT-Purdue | submission_description/20923|20923 | 2020-07-16 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.35548 | 0.941 | 100% | 100% | 0.46655 | ||
4 | 19372 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200626-225528-9522.sr-20200626-225529-2904 | UCF | submission_description/19025|19025 | 2020-06-19 | UCF-P | 270 | ActEV_SDL_V2 | 0.36126 | 0.722 | 100% | 100% | 0.42337 | ||
5 | 22080 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00326_UMD_20200813-111436-3293.sr-20200813-111443-6136 | UMD | submission_description/18450|18450 | 2020-06-07 | UMD+UCF | 326 | ActEV_SDL_V2 | 0.36655 | 0.49867 | 1.486 | 94% | 100% | 0.42493 | 0.53357 |
6 | 16601 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00328_VUS_20200511-132633-4864.sr-20200515-001742-2385 | VUS | submission_description/16259|16259 | 2020-05-08 | VUS-V1 | 328 | ActEV_SDL_V2 | 0.40599 | ** | 1.344 | 100% | 100% | 0.46931 | ** |
7 | 22204 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00349_UMCMU_20200908-213841-1038.sr-20200908-213842-3874 | UMCMU | submission_description/22202|22202 | 2020-09-05 | UMCMU-T | 349 | ActEV_SDL_V2 | 0.43836 | 0.64138 | 2.779 | 100% | 100% | 0.53971 | 0.68352 |
8 | 15300 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200416-142124-7336.sr-20200519-235029-4101 | NIST-TEST | submission_description/13021|13021 | 2020-03-05 | NIST Test | 263 | ActEV_SDL_V2 | 0.46563 | 0.822 | 97% | 100% | 0.55441 | ||
9 | 17319 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200519-012627-9123.sr-20200519-235030-8540 | Team_Vision | submission_description/16275|16275 | 2020-05-08 | STARK | 282 | ActEV_SDL_V2 | 0.52993 | 1.002 | 100% | 100% | 0.62047 | ||
10 | 17477 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00337_vireoJD-MM_20200520-200345-0804.sr-20200526-131616-1250 | vireoJD-MM | submission_description/17093|17093 | 2020-05-16 | vireo3 | 337 | ActEV_SDL_V2 | 0.53876 | 0.149 | 100% | 96% | 0.67389 | ||
11 | 17913 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00338_BUPT-MCPRL_20200529-112230-6942.sr-20200529-112231-8566 | BUPT-MCPRL | submission_description/17732|17732 | 2020-05-26 | bupt-mcprl | 338 | ActEV_SDL_V2 | 0.61532 | 0.969 | 100% | 100% | 0.63203 | ||
12 | 22210 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00335_CIS-JHU_20200910-111927-6409.sr-20200910-111939-5650 | CIS_JHU | submission_description/17471|17471 | 2020-05-20 | jhu_stmpgnn | 335 | ActEV_SDL_V2 | 0.62911 | 0.77784 | 4.520 | 94% | 69% | 0.70393 | 0.79736 |
13 | 22200 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00276_DIVA-TE-Baseline_20200903-202020-0140.sr-20200903-202032-7226 | DIVA TE Baseline | submission_description/18234|18234 | 2020-06-04 | RC3D | 276 | ActEV_SDL_V2 | 0.93925 | 0.94669 | 1.327 | 89% | 100% | 0.95265 | 0.95662 |
SDL20-scoring-EO
SDL20-scoring-EO
RANK | SCORING_SUBMISSION_ID | SCORING REQUEST NAME | TEAM NAME | SUBMISSION ID | SUBMISSION DATE | SYSTEM NAME | SYSTEM ID | SCORING PROTOCOL | PARTIAL AUDC* | TIME LIMITED PARTIAL AUDC* | RELATIVE PROCESSING TIME | DETECTED ACTIVITY TYPES† | PROCESSED FILES‡ | MEAN-P_MISS@0.04TFA | TIME LIMITED MEAN-P_MISS@0.04TFA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 21907 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00290_INF_20200802-111248-0247.sr-20200802-111248-6519 | INF | submission_description/21756|21756 | 2020-07-27 | set3 | 290 | ActEV_SDL_V2 | 0.35042 | 0.570 | 100% | 100% | 0.43284 | ||
2 | 22213 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00346_TeamVision2_20200917-045128-0151.sr-20200917-045129-0454 | TeamVision2 | submission_description/22212|22212 | 2020-09-14 | dummy_test | 346 | ActEV_SDL_V2 | 0.35362 | 0.590 | 100% | 100% | 0.46523 | ||
3 | 21562 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200723-223132-7371.sr-20200723-223133-0801 | IBM-MIT-Purdue | submission_description/20923|20923 | 2020-07-16 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.35548 | 0.941 | 100% | 100% | 0.46655 | ||
4 | 22092 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00346_TeamVision2_20200818-120721-8627.sr-20200818-120722-9978 | TeamVision2 | submission_description/22087|22087 | 2020-08-17 | dummy_test | 346 | ActEV_SDL_V2 | 0.35861 | 0.165 | 100% | 100% | 0.46920 | ||
5 | 21720 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200727-100139-3414.sr-20200727-100139-7088 | IBM-MIT-Purdue | submission_description/21563|21563 | 2020-07-24 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.35903 | 0.164 | 100% | 100% | 0.46970 | ||
6 | 21558 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200721-224447-0979.sr-20200723-115701-6484 | IBM-MIT-Purdue | submission_description/20925|20925 | 2020-07-16 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.36026 | 0.933 | 100% | 100% | 0.47363 | ||
7 | 19372 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200626-225528-9522.sr-20200626-225529-2904 | UCF | submission_description/19025|19025 | 2020-06-19 | UCF-P | 270 | ActEV_SDL_V2 | 0.36126 | 0.722 | 100% | 100% | 0.42337 | ||
8 | 17885 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200528-094551-9941.sr-20200528-094553-2266 | UCF | submission_description/17152|17152 | 2020-05-17 | UCF-P | 270 | ActEV_SDL_V2 | 0.36452 | 0.684 | 100% | 100% | 0.42292 | ||
9 | 22080 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00326_UMD_20200813-111436-3293.sr-20200813-111443-6136 | UMD | submission_description/18450|18450 | 2020-06-07 | UMD+UCF | 326 | ActEV_SDL_V2 | 0.36655 | 0.49867 | 1.486 | 94% | 100% | 0.42493 | 0.53357 |
10 | 22186 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00326_UMD_20200903-134945-6697.sr-20200903-135004-3443 | UMD | submission_description/19562|19562 | 2020-06-30 | UMD+UCF | 326 | ActEV_SDL_V2 | 0.36941 | 0.51425 | 1.582 | 94% | 100% | 0.43018 | 0.54987 |
11 | 19469 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200629-055542-1886.sr-20200629-055542-4982 | UCF | submission_description/19365|19365 | 2020-06-26 | UCF-P | 270 | ActEV_SDL_V2 | 0.36969 | 0.688 | 100% | 100% | 0.42401 | ||
12 | 17151 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200516-215958-2007.sr-20200519-235025-5233 | UCF | submission_description/16743|16743 | 2020-05-12 | UCF-P | 270 | ActEV_SDL_V2 | 0.37281 | 0.581 | 94% | 100% | 0.42796 | ||
13 | 21246 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200719-014924-2963.sr-20200719-014924-6450 | IBM-MIT-Purdue | submission_description/20951|20951 | 2020-07-16 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.37300 | 0.939 | 100% | 100% | 0.49878 | ||
14 | 22066 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200807-122924-7589.sr-20200807-122938-3167 | IBM-MIT-Purdue | submission_description/21386|21386 | 2020-07-20 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.37434 | 0.134 | 100% | 100% | 0.49792 | ||
15 | 21560 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200723-065908-6567.sr-20200723-115906-1667 | IBM-MIT-Purdue | submission_description/21401|21401 | 2020-07-20 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.37434 | 0.165 | 100% | 100% | 0.49790 | ||
16 | 21363 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00345_IBM-MIT-Purdue_20200720-100421-3618.sr-20200720-100421-7590 | IBM-MIT-Purdue | submission_description/20924|20924 | 2020-07-16 | IBM-Purdue | 345 | ActEV_SDL_V2 | 0.38039 | 0.945 | 100% | 100% | 0.50065 | ||
17 | 17057 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00298_INF_20200516-013223-2420.sr-20200526-131614-0410 | INF | submission_description/16309|16309 | 2020-05-08 | speed1x | 298 | ActEV_SDL_V2 | 0.38699 | 0.498 | 97% | 100% | 0.46352 | ||
18 | 20991 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20200717-020850-9110.sr-20200717-020851-7129 | INF | submission_description/20674|20674 | 2020-07-14 | INF_MEVA1 | 283 | ActEV_SDL_V2 | 0.39638 | 0.569 | 100% | 100% | 0.50412 | ||
19 | 20788 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200715-135050-7837.sr-20200715-135051-1502 | IBM-MIT-Purdue | submission_description/20639|20639 | 2020-07-14 | Purdue | 312 | ActEV_SDL_V2 | 0.40001 | 0.446 | 100% | 100% | 0.52175 | ||
20 | 21214 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200718-161337-9332.sr-20200718-161338-3634 | IBM-MIT-Purdue | submission_description/20790|20790 | 2020-07-15 | Purdue | 312 | ActEV_SDL_V2 | 0.40279 | 0.105 | 100% | 100% | 0.53051 | ||
21 | 16601 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00328_VUS_20200511-132633-4864.sr-20200515-001742-2385 | VUS | submission_description/16259|16259 | 2020-05-08 | VUS-V1 | 328 | ActEV_SDL_V2 | 0.40599 | ** | 1.344 | 100% | 100% | 0.46931 | ** |
22 | 20522 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200713-020327-1299.sr-20200713-020327-5401 | IBM-MIT-Purdue | submission_description/20365|20365 | 2020-07-12 | Purdue | 312 | ActEV_SDL_V2 | 0.40889 | 0.094 | 100% | 100% | 0.53662 | ||
23 | 16051 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00288_INF_20200505-093715-5641.sr-20200519-235025-8703 | INF | submission_description/15846|15846 | 2020-05-01 | meva_inf2 | 288 | ActEV_SDL_V2 | 0.40897 | 0.927 | 97% | 100% | 0.48110 | ||
24 | 20535 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200713-140322-3163.sr-20200713-140322-6513 | IBM-MIT-Purdue | submission_description/20390|20390 | 2020-07-12 | Purdue | 312 | ActEV_SDL_V2 | 0.40987 | 0.094 | 100% | 100% | 0.53775 | ||
25 | 20364 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200711-232330-7159.sr-20200711-232331-0498 | IBM-MIT-Purdue | submission_description/20207|20207 | 2020-07-10 | Purdue | 312 | ActEV_SDL_V2 | 0.41002 | 0.093 | 100% | 100% | 0.53802 | ||
26 | 15414 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00307_INF_20200421-115525-8081.sr-20200519-235026-1773 | INF | submission_description/15132|15132 | 2020-04-13 | INF_MEVA_IOD | 307 | ActEV_SDL_V2 | 0.41143 | 0.848 | 97% | 98% | 0.48364 | ||
27 | 22206 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00326_UMD_20200910-111409-6010.sr-20200910-111427-9528 | UMD | submission_description/15747|15747 | 2020-04-30 | UMD+UCF | 326 | ActEV_SDL_V2 | 0.41450 | 0.51127 | 1.253 | 100% | 100% | 0.50159 | 0.57103 |
28 | 17326 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00334_VUS_20200519-030816-7908.sr-20200526-131615-6056 | VUS | submission_description/16908|16908 | 2020-05-14 | VUS-V1-FAST | 334 | ActEV_SDL_V2 | 0.41493 | 0.829 | 100% | 100% | 0.48191 | ||
29 | 22207 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00326_UMD_20200910-111512-8994.sr-20200910-111526-9232 | UMD | submission_description/16984|16984 | 2020-05-15 | UMD+UCF | 326 | ActEV_SDL_V2 | 0.41646 | 0.50800 | 1.226 | 97% | 100% | 0.49014 | 0.56142 |
30 | 22190 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20200903-143511-7879.sr-20200903-143525-5231 | UMD | submission_description/21909|21909 | 2020-08-03 | UMD | 281 | ActEV_SDL_V2 | 0.41865 | 0.43988 | 1.057 | 97% | 100% | 0.49523 | 0.51203 |
31 | 14577 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20200317-124405-8174.sr-20200519-235026-8006 | INF | submission_description/14480|14480 | 2020-03-16 | INF_MEVA1 | 283 | ActEV_SDL_V2 | 0.42496 | 0.527 | 97% | 98% | 0.49599 | ||
32 | 19647 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00288_INF_20200702-000615-6292.sr-20200702-000616-3752 | INF | submission_description/19451|19451 | 2020-06-28 | meva_inf2 | 288 | ActEV_SDL_V2 | 0.43139 | 0.610 | 100% | 100% | 0.54264 | ||
33 | 14857 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200319-153022-2982.sr-20200519-235027-0971 | UCF | submission_description/14760|14760 | 2020-03-18 | UCF-P | 270 | ActEV_SDL_V2 | 0.43526 | 0.349 | 100% | 100% | 0.53063 | ||
34 | 14963 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200320-041131-0946.sr-20200519-235027-3712 | UCF | submission_description/14858|14858 | 2020-03-19 | UCF-P | 270 | ActEV_SDL_V2 | 0.43555 | 0.346 | 100% | 100% | 0.52764 | ||
35 | 20361 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200711-122139-6464.sr-20200711-122140-0051 | IBM-MIT-Purdue | submission_description/20206|20206 | 2020-07-10 | Purdue | 312 | ActEV_SDL_V2 | 0.43758 | 0.093 | 100% | 100% | 0.56295 | ||
36 | 22191 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20200903-144008-5507.sr-20200903-144024-9839 | UMD | submission_description/19565|19565 | 2020-06-30 | UMD | 281 | ActEV_SDL_V2 | 0.43796 | 0.45792 | 1.055 | 97% | 100% | 0.52779 | 0.54450 |
37 | 22204 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00349_UMCMU_20200908-213841-1038.sr-20200908-213842-3874 | UMCMU | submission_description/22202|22202 | 2020-09-05 | UMCMU-T | 349 | ActEV_SDL_V2 | 0.43836 | 0.64138 | 2.779 | 100% | 100% | 0.53971 | 0.68352 |
38 | 15986 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200504-164235-0111.sr-20200519-235027-6683 | UCF | submission_description/15544|15544 | 2020-04-27 | UCF-P | 270 | ActEV_SDL_V2 | 0.43888 | 0.356 | 97% | 100% | 0.50250 | ||
39 | 16558 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200510-225902-1029.sr-20200519-235027-9601 | UCF | submission_description/16212|16212 | 2020-05-07 | UCF-P | 270 | ActEV_SDL_V2 | 0.43937 | 0.317 | 94% | 100% | 0.51352 | ||
40 | 22192 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20200903-144542-8180.sr-20200903-144554-4687 | UMD | submission_description/18557|18557 | 2020-06-09 | UMD | 281 | ActEV_SDL_V2 | 0.44296 | 0.44346 | 1.002 | 100% | 100% | 0.52413 | 0.52440 |
41 | 22166 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00298_INF_20200824-120056-4943.sr-20200824-120111-4317 | INF | submission_description/22076|22076 | 2020-08-11 | speed1x | 298 | ActEV_SDL_V2 | 0.44860 | 0.759 | 100% | 100% | 0.55369 | ||
42 | 22160 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00349_UMCMU_20200822-025139-4835.sr-20200822-025140-6360 | UMCMU | submission_description/22100|22100 | 2020-08-20 | UMCMU-T | 349 | ActEV_SDL_V2 | 0.44974 | 0.48978 | 1.142 | 100% | 100% | 0.55711 | 0.58248 |
43 | 22164 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00307_INF_20200824-114239-5597.sr-20200824-114253-9849 | INF | submission_description/22079|22079 | 2020-08-12 | INF_MEVA_IOD | 307 | ActEV_SDL_V2 | 0.45250 | 0.531 | 100% | 98% | 0.52495 | ||
44 | 22158 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20200821-140731-1281.sr-20200821-140759-0942 | INF | submission_description/22084|22084 | 2020-08-16 | INF_MEVA1 | 283 | ActEV_SDL_V2 | 0.45250 | 0.540 | 100% | 98% | 0.52526 | ||
45 | 17599 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00290_INF_20200523-181607-2999.sr-20200605-094432-1913 | INF | submission_description/17472|17472 | 2020-05-20 | set3 | 290 | ActEV_SDL_V2 | 0.46181 | 0.915 | 100% | 100% | 0.57696 | ||
46 | 16257 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200508-110705-2778.sr-20200519-235028-2659 | UCF | submission_description/15949|15949 | 2020-05-03 | UCF-P | 270 | ActEV_SDL_V2 | 0.46326 | 0.480 | 100% | 100% | 0.56739 | ||
47 | 18749 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20200611-125827-6623.sr-20200611-125828-0367 | UMD | submission_description/18150|18150 | 2020-06-01 | UMD | 281 | ActEV_SDL_V2 | 0.46455 | 0.884 | 100% | 100% | 0.57492 | ||
48 | 14856 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20200319-133322-4135.sr-20200519-235029-1164 | UMD | submission_description/13739|13739 | 2020-03-11 | UMD | 281 | ActEV_SDL_V2 | 0.46562 | 0.684 | 97% | 100% | 0.55473 | ||
49 | 15300 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200416-142124-7336.sr-20200519-235029-4101 | NIST-TEST | submission_description/13021|13021 | 2020-03-05 | NIST Test | 263 | ActEV_SDL_V2 | 0.46563 | 0.822 | 97% | 100% | 0.55441 | ||
50 | 14483 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00298_INF_20200316-112137-9583.sr-20200519-235028-5577 | INF | submission_description/13770|13770 | 2020-03-11 | speed1x | 298 | ActEV_SDL_V2 | 0.46565 | 0.613 | 97% | 100% | 0.54743 | ||
51 | 14202 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00298_INF_20200313-132531-6559.sr-20200519-235028-8388 | INF | submission_description/13315|13315 | 2020-03-10 | speed1x | 298 | ActEV_SDL_V2 | 0.46566 | 0.615 | 97% | 100% | 0.54743 | ||
52 | 14819 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20200319-091913-4675.sr-20200519-235029-6961 | UMD | submission_description/14296|14296 | 2020-03-13 | UMD | 281 | ActEV_SDL_V2 | 0.46662 | 0.703 | 100% | 100% | 0.55902 | ||
53 | 15026 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200320-131358-4621.sr-20200519-235029-9885 | UCF | submission_description/13949|13949 | 2020-03-11 | UCF-P | 270 | ActEV_SDL_V2 | 0.46704 | 0.333 | 97% | 100% | 0.53785 | ||
54 | 14669 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200318-053708-4851.sr-20200519-235030-2750 | UCF | submission_description/14578|14578 | 2020-03-17 | UCF-P | 270 | ActEV_SDL_V2 | 0.46704 | 0.296 | 97% | 100% | 0.53785 | ||
55 | 16557 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00290_INF_20200510-225720-2108.sr-20200519-235030-5862 | INF | submission_description/16142|16142 | 2020-05-06 | set3 | 290 | ActEV_SDL_V2 | 0.47294 | 0.559 | 97% | 100% | 0.53440 | ||
56 | 22093 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00351_UMCMU_20200818-155914-5142.sr-20200818-155917-4156 | UMCMU | submission_description/22088|22088 | 2020-08-17 | UMCMU-SF | 351 | ActEV_SDL_V2 | 0.47326 | 0.50639 | 1.096 | 100% | 100% | 0.58134 | 0.60281 |
57 | 19586 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200701-042026-6851.sr-20200701-042026-9738 | UCF | submission_description/19448|19448 | 2020-06-28 | UCF-P | 270 | ActEV_SDL_V2 | 0.47688 | 0.515 | 100% | 100% | 0.51324 | ||
58 | 22081 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00349_UMCMU_20200813-201514-5379.sr-20200813-201515-6990 | UMCMU | submission_description/22072|22072 | 2020-08-11 | UMCMU-T | 349 | ActEV_SDL_V2 | 0.47947 | 0.50746 | 1.084 | 100% | 100% | 0.58884 | 0.60606 |
59 | 17346 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20200519-111655-5218.sr-20200526-131613-0088 | UCF | submission_description/16386|16386 | 2020-05-09 | UCF-P | 270 | ActEV_SDL_V2 | 0.48113 | 0.305 | 94% | 100% | 0.57069 | ||
60 | 18071 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00307_INF_20200530-125344-8660.sr-20200530-125346-3964 | INF | submission_description/17726|17726 | 2020-05-26 | INF_MEVA_IOD | 307 | ActEV_SDL_V2 | 0.48144 | 0.824 | 97% | 97% | 0.57248 | ||
61 | 22157 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00351_UMCMU_20200821-120111-4361.sr-20200821-120116-5860 | UMCMU | submission_description/22095|22095 | 2020-08-19 | UMCMU-SF | 351 | ActEV_SDL_V2 | 0.48268 | 0.51874 | 1.108 | 100% | 100% | 0.59095 | 0.61479 |
62 | 17744 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20200526-170134-8475.sr-20200526-170136-0564 | UMD | submission_description/17521|17521 | 2020-05-22 | UMD | 281 | ActEV_SDL_V2 | 0.48305 | 0.905 | 97% | 100% | 0.57807 | ||
63 | 19367 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200626-155016-8498.sr-20200626-155017-1824 | IBM-MIT-Purdue | submission_description/19119|19119 | 2020-06-24 | Purdue | 312 | ActEV_SDL_V2 | 0.48664 | 0.090 | 100% | 100% | 0.62999 | ||
64 | 22096 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00288_INF_20200819-093352-6433.sr-20200819-093353-7810 | INF | submission_description/22090|22090 | 2020-08-18 | meva_inf2 | 288 | ActEV_SDL_V2 | 0.48932 | 0.486 | 100% | 100% | 0.55322 | ||
65 | 18555 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00288_INF_20200609-113657-6904.sr-20200609-113658-4373 | INF | submission_description/18247|18247 | 2020-06-05 | meva_inf2 | 288 | ActEV_SDL_V2 | 0.49394 | 0.991 | 100% | 100% | 0.61605 | ||
66 | 18229 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20200603-135148-1770.sr-20200603-135149-1523 | INF | submission_description/18151|18151 | 2020-06-02 | INF_MEVA1 | 283 | ActEV_SDL_V2 | 0.49492 | 0.950 | 100% | 98% | 0.61675 | ||
67 | 20297 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200711-022734-9206.sr-20200711-022735-2782 | IBM-MIT-Purdue | submission_description/20129|20129 | 2020-07-10 | Purdue | 312 | ActEV_SDL_V2 | 0.49857 | 0.063 | 100% | 100% | 0.63895 | ||
68 | 22101 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20200820-033210-9803.sr-20200820-033212-8662 | INF | submission_description/22097|22097 | 2020-08-19 | INF_MEVA1 | 283 | ActEV_SDL_V2 | 0.50539 | 0.461 | 100% | 100% | 0.56714 | ||
69 | 18235 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200605-095636-6760.sr-20200605-095637-0432 | IBM-MIT-Purdue | submission_description/18073|18073 | 2020-05-30 | Purdue | 312 | ActEV_SDL_V2 | 0.50541 | 0.366 | 102% | 100% | 0.65305 | ||
70 | 17319 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200519-012627-9123.sr-20200519-235030-8540 | Team_Vision | submission_description/16275|16275 | 2020-05-08 | STARK | 282 | ActEV_SDL_V2 | 0.52993 | 1.002 | 100% | 100% | 0.62047 | ||
71 | 22208 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200910-111621-4009.sr-20200910-111632-2445 | Team_Vision | submission_description/16060|16060 | 2020-05-05 | STARK | 282 | ActEV_SDL_V2 | 0.52993 | 0.53006 | 1.003 | 100% | 100% | 0.62047 | 0.62012 |
72 | 17090 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200516-094544-8275.sr-20200519-235031-3894 | IBM-MIT-Purdue | submission_description/16902|16902 | 2020-05-14 | Purdue | 312 | ActEV_SDL_V2 | 0.53528 | 0.080 | 97% | 100% | 0.66782 | ||
73 | 22174 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00290_INF_20200826-171114-9686.sr-20200826-171116-0653 | INF | submission_description/22170|22170 | 2020-08-25 | set3 | 290 | ActEV_SDL_V2 | 0.53531 | 0.518 | 100% | 100% | 0.59422 | ||
74 | 17477 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00337_vireoJD-MM_20200520-200345-0804.sr-20200526-131616-1250 | vireoJD-MM | submission_description/17093|17093 | 2020-05-16 | vireo3 | 337 | ActEV_SDL_V2 | 0.53876 | 0.149 | 100% | 96% | 0.67389 | ||
75 | 22194 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200903-162052-0365.sr-20200903-162102-4232 | Team_Vision | submission_description/20960|20960 | 2020-07-16 | STARK | 282 | ActEV_SDL_V2 | 0.54007 | 0.54326 | 1.021 | 100% | 100% | 0.63513 | 0.63803 |
76 | 22173 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00349_UMCMU_20200826-133244-4242.sr-20200826-133245-6193 | UMCMU | submission_description/22165|22165 | 2020-08-24 | UMCMU-T | 349 | ActEV_SDL_V2 | 0.54015 | 0.973 | 100% | 100% | 0.61852 | ||
77 | 16135 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00329_vireoJD-MM_20200506-100639-0175.sr-20200519-235031-6711 | vireoJD-MM | submission_description/15735|15735 | 2020-04-30 | Vireo | 329 | ActEV_SDL_V2 | 0.54107 | 0.160 | 100% | 96% | 0.67380 | ||
78 | 22195 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200903-170336-8983.sr-20200903-170348-6197 | Team_Vision | submission_description/20532|20532 | 2020-07-13 | STARK | 282 | ActEV_SDL_V2 | 0.54918 | 0.55134 | 1.014 | 100% | 100% | 0.64655 | 0.64749 |
79 | 22161 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00288_INF_20200822-124810-1592.sr-20200822-124811-3286 | INF | submission_description/22159|22159 | 2020-08-22 | meva_inf2 | 288 | ActEV_SDL_V2 | 0.54966 | 0.520 | 100% | 100% | 0.60651 | ||
80 | 17008 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00331_vireoJD-MM_20200515-163029-9498.sr-20200519-235031-9723 | vireoJD-MM | submission_description/16445|16445 | 2020-05-09 | vireo2 | 331 | ActEV_SDL_V2 | 0.55665 | 0.163 | 100% | 96% | 0.68832 | ||
81 | 17387 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200519-233350-8538.sr-20200526-131614-5743 | IBM-MIT-Purdue | submission_description/16909|16909 | 2020-05-14 | Purdue | 312 | ActEV_SDL_V2 | 0.56720 | 0.080 | 97% | 100% | 0.69927 | ||
82 | 19993 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200708-194028-8463.sr-20200708-194029-1870 | Team_Vision | submission_description/19871|19871 | 2020-07-07 | STARK | 282 | ActEV_SDL_V2 | 0.57102 | 0.993 | 97% | 100% | 0.65497 | ||
83 | 22209 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200910-111813-0426.sr-20200910-111827-9542 | Team_Vision | submission_description/16705|16705 | 2020-05-12 | STARK | 282 | ActEV_SDL_V2 | 0.61351 | 0.63166 | 1.096 | 100% | 100% | 0.70557 | 0.71890 |
84 | 17913 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00338_BUPT-MCPRL_20200529-112230-6942.sr-20200529-112231-8566 | BUPT-MCPRL | submission_description/17732|17732 | 2020-05-26 | bupt-mcprl | 338 | ActEV_SDL_V2 | 0.61532 | 0.969 | 100% | 100% | 0.63203 | ||
85 | 22210 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00335_CIS-JHU_20200910-111927-6409.sr-20200910-111939-5650 | CIS_JHU | submission_description/17471|17471 | 2020-05-20 | jhu_stmpgnn | 335 | ActEV_SDL_V2 | 0.62911 | 0.77784 | 4.520 | 94% | 69% | 0.70393 | 0.79736 |
86 | 22198 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200903-200540-0013.sr-20200903-200553-6396 | Team_Vision | submission_description/18959|18959 | 2020-06-18 | STARK | 282 | ActEV_SDL_V2 | 0.62962 | 0.62956 | 1.005 | 100% | 100% | 0.71889 | 0.71876 |
87 | 15224 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200415-114050-1365.sr-20200519-235032-2671 | IBM-MIT-Purdue | submission_description/15129|15129 | 2020-04-10 | Purdue | 312 | ActEV_SDL_V2 | 0.64260 | 0.148 | 100% | 100% | 0.72913 | ||
88 | 22175 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00307_INF_20200827-105401-5621.sr-20200827-105403-0050 | INF | submission_description/22167|22167 | 2020-08-24 | INF_MEVA_IOD | 307 | ActEV_SDL_V2 | 0.68832 | 0.551 | 100% | 100% | 0.71984 | ||
89 | 14009 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200312-162922-5840.sr-20200519-235032-5355 | Team_Vision | submission_description/13117|13117 | 2020-03-08 | STARK | 282 | ActEV_SDL_V2 | 0.69971 | 0.685 | 97% | 100% | 0.76985 | ||
90 | 15027 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200320-133708-7523.sr-20200519-235032-8099 | Team_Vision | submission_description/13533|13533 | 2020-03-10 | STARK | 282 | ActEV_SDL_V2 | 0.70162 | 0.681 | 97% | 98% | 0.77027 | ||
91 | 15413 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200421-105807-5524.sr-20200519-235033-1130 | IBM-MIT-Purdue | submission_description/15320|15320 | 2020-04-18 | Purdue | 312 | ActEV_SDL_V2 | 0.74163 | 0.047 | 100% | 100% | 0.85468 | ||
92 | 16614 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00312_IBM-MIT-Purdue_20200511-173821-3000.sr-20200519-235033-4110 | IBM-MIT-Purdue | submission_description/15562|15562 | 2020-04-28 | Purdue | 312 | ActEV_SDL_V2 | 0.74383 | 0.047 | 100% | 100% | 0.85239 | ||
93 | 20127 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20200710-095000-2256.sr-20200710-095000-5705 | Team_Vision | submission_description/19750|19750 | 2020-07-06 | STARK | 282 | ActEV_SDL_V2 | 0.81637 | 0.918 | 97% | 100% | 0.84071 | ||
94 | 22185 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00349_UMCMU_20200902-115359-4665.sr-20200902-115400-5492 | UMCMU | submission_description/22181|22181 | 2020-08-31 | UMCMU-T | 349 | ActEV_SDL_V2 | 0.82685 | 0.85776 | 1.262 | 43% | 100% | 0.85385 | 0.87633 |
95 | 22171 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20200826-035642-4842.sr-20200826-035643-6712 | INF | submission_description/22169|22169 | 2020-08-25 | INF_MEVA1 | 283 | ActEV_SDL_V2 | 0.85228 | 0.076 | 100% | 100% | 0.85927 | ||
96 | 22200 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00276_DIVA-TE-Baseline_20200903-202020-0140.sr-20200903-202032-7226 | DIVA TE Baseline | submission_description/18234|18234 | 2020-06-04 | RC3D | 276 | ActEV_SDL_V2 | 0.93925 | 0.94669 | 1.327 | 89% | 100% | 0.95265 | 0.95662 |
97 | 22199 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00341_DIVA-TE-Baseline_20200903-201905-7262.sr-20200903-201917-7742 | DIVA TE Baseline | submission_description/18498|18498 | 2020-06-08 | RC3D-kw-annotations | 341 | ActEV_SDL_V2 | 0.96674 | 0.97091 | 1.236 | 75% | 100% | 0.97908 | 0.98109 |
98 | 19032 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00307_INF_20200623-035629-8422.sr-20200623-035630-2041 | INF | submission_description/18968|18968 | 2020-06-18 | INF_MEVA_IOD | 307 | ActEV_SDL_V2 | 0.97072 | 0.523 | 97% | 3% | 0.97095 | ||
99 | 18855 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200612-101533-8300.sr-20200612-101534-1008 | NIST-TEST | submission_description/18753|18753 | 2020-06-11 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.031 | 0% | 100% | 1.00000 | ||
100 | 22153 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200820-163504-5674.sr-20200820-163505-5395 | NIST-TEST | submission_description/22067|22067 | 2020-08-10 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.096 | 0% | 100% | 1.00000 | ||
101 | 22182 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200831-172129-2294.sr-20200831-172130-1681 | NIST-TEST | submission_description/22180|22180 | 2020-08-31 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.029 | 0% | 100% | 1.00000 | ||
102 | 18863 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200612-174502-8142.sr-20200612-174503-0813 | NIST-TEST | submission_description/18565|18565 | 2020-06-09 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.031 | 0% | 100% | 1.00000 | ||
103 | 22184 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200901-234020-6634.sr-20200901-234021-9031 | NIST-TEST | submission_description/22183|22183 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.030 | 0% | 100% | 1.00000 | |||
104 | 22155 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200821-104029-2935.sr-20200821-104030-2742 | NIST-TEST | submission_description/22154|22154 | 2020-08-20 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.030 | 0% | 100% | 1.00000 | ||
105 | 18859 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200612-105746-5020.sr-20200612-105746-7748 | NIST-TEST | submission_description/18238|18238 | 2020-06-05 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.031 | 0% | 100% | 1.00000 | ||
106 | 19360 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20200626-094820-3881.sr-20200626-094820-6286 | NIST-TEST | submission_description/19117|19117 | 2020-06-23 | NIST Test | 263 | ActEV_SDL_V2 | 1.00000 | 0.030 | 0% | 100% | 1.00000 |
SDL20-scoring-EO
SDL19-scoring-EO
RANK | TEAM NAME | SUBMISSION ID | SUBMISSION DATE | SYSTEM NAME | PARTIAL AUDC* | TIME LIMITED PARTIAL AUDC* | RELATIVE PROCESSING TIME | DETECTED ACTIVITY TYPES† | PROCESSED FILES‡ | MEAN-P_MISS@0.04TFA | TIME LIMITED MEAN-P_MISS@0.04TFA |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | UMD | 11045 | 2020-01-24 | UMD+UCF | 0.41585 | 0.65517 | 1.154 | 100% | 100% | 0.49360 | 0.67902 |
2 | UCF | 10640 | 2020-01-21 | UCF-P | 0.43810 | 0.362 | 100% | 100% | 0.52356 | ||
3 | UCF | 12650 | 2020-02-25 | UCF-P | 0.44047 | 0.364 | 97% | 100% | 0.54081 | ||
4 | UCF | 9105 | 2020-01-15 | UCF-P | 0.44056 | 0.424 | 97% | 100% | 0.52513 | ||
5 | UCF | 12222 | 2020-02-11 | UCF-P | 0.44198 | 0.395 | 100% | 100% | 0.53514 | ||
6 | UCF | 8328 | 2020-01-10 | UCF-P | 0.44360 | 0.403 | 100% | 100% | 0.52972 | ||
7 | UCF | 10821 | 2020-01-22 | UCF-P | 0.44473 | 0.407 | 100% | 100% | 0.54228 | ||
8 | UCF | 11849 | 2020-02-02 | UCF-P | 0.45165 | 0.378 | 100% | 100% | 0.51752 | ||
9 | UMD | 5595 | 2019-12-06 | UMD | 0.47596 | 0.725 | 97% | 100% | 0.54479 | ||
10 | UMD | 12468 | 2020-02-18 | UMD | 0.47611 | 0.849 | 97% | 100% | 0.55945 | ||
11 | UMD | 8222 | 2020-01-10 | UMD | 0.47668 | 0.68909 | 1.260 | 100% | 100% | 0.54492 | 0.71689 |
12 | UMD | 8198 | 2020-01-09 | UMD | 0.48037 | 0.68601 | 1.134 | 97% | 100% | 0.54825 | 0.71585 |
13 | UCF | 7728 | 2020-01-04 | UCF-P | 0.48290 | 0.438 | 94% | 100% | 0.51235 | ||
14 | UMD | 7992 | 2020-01-08 | UMD | 0.48333 | 0.68298 | 1.098 | 97% | 100% | 0.55028 | 0.71410 |
15 | INF | 11911 | 2020-02-06 | set3 | 0.48978 | 0.646 | 97% | 100% | 0.55928 | ||
16 | UMD | 10000 | 2020-01-19 | UMD | 0.49061 | 0.803 | 100% | 100% | 0.56996 | ||
17 | UMD | 7472 | 2020-01-02 | UMD | 0.49689 | 0.61793 | 1.042 | 97% | 93% | 0.55515 | 0.65471 |
18 | UCF | 7235 | 2019-12-30 | UCF-P | 0.51676 | 0.347 | 97% | 100% | 0.55164 | ||
19 | UCF | 6499 | 2019-12-18 | UCF-P | 0.52068 | 0.333 | 97% | 100% | 0.57885 | ||
20 | UMD | 4809 | 2019-11-15 | UMD | 0.53144 | 0.965 | 100% | 98% | 0.60011 | ||
21 | UMD | 3666 | 2019-10-10 | UMD | 0.53147 | 0.970 | 100% | 98% | 0.60101 | ||
22 | UMD | 6285 | 2019-12-12 | UMD | 0.53459 | 0.723 | 100% | 98% | 0.59596 | ||
23 | INF | 12068 | 2020-02-09 | speed1x | 0.53654 | 0.642 | 97% | 94% | 0.59701 | ||
24 | INF | 11850 | 2020-02-03 | meva_inf2 | 0.59044 | 0.960 | 94% | 97% | 0.64252 | ||
25 | UCF | 5851 | 2019-12-09 | UCF-P | 0.60431 | 0.293 | 97% | 100% | 0.64157 | ||
26 | Edge-Intelligence | 8003 | 2020-01-08 | Edge-Intelligence | 0.62842 | 0.939 | 97% | 100% | 0.75488 | ||
27 | IBM-MIT-Purdue | 6513 | 2019-12-18 | Purdue | 0.64182 | 0.272 | 100% | 100% | 0.73321 | ||
28 | IBM-MIT-Purdue | 11346 | 2020-01-26 | Purdue | 0.64182 | 0.128 | 100% | 100% | 0.73320 | ||
29 | IBM-MIT-Purdue | 11345 | 2020-01-26 | Purdue | 0.64182 | 0.125 | 100% | 100% | 0.73320 | ||
30 | Edge-Intelligence | 7845 | 2020-01-06 | Edge_Intelligence | 0.64737 | 0.887 | 94% | 100% | 0.76268 | ||
31 | UMD | 2074 | 2019-08-16 | UMD | 0.65325 | 0.744 | 97% | 98% | 0.73860 | ||
32 | IBM-MIT-Purdue | 6815 | 2019-12-20 | Purdue | 0.65351 | 0.315 | 100% | 100% | 0.73730 | ||
33 | IBM-MIT-Purdue | 5004 | 2019-11-25 | Purdue | 0.65503 | 0.124 | 100% | 98% | 0.73745 | ||
34 | IBM-MIT-Purdue | 5005 | 2019-11-25 | Purdue | 0.65913 | 0.124 | 100% | 98% | 0.73971 | ||
35 | IBM-MIT-Purdue | 6501 | 2019-12-18 | Purdue | 0.66055 | 0.442 | 100% | 100% | 0.74490 | ||
36 | IBM-MIT-Purdue | 4660 | 2019-11-11 | Purdue | 0.66383 | 0.087 | 100% | 98% | 0.74381 | ||
37 | IBM-MIT-Purdue | 11343 | 2020-01-26 | Purdue | 0.66394 | 0.038 | 100% | 98% | 0.74397 | ||
38 | IBM-MIT-Purdue | 11344 | 2020-01-26 | Purdue | 0.66394 | 0.035 | 100% | 98% | 0.74397 | ||
39 | IBM-MIT-Purdue | 11268 | 2020-01-26 | Purdue | 0.66496 | 0.124 | 100% | 100% | 0.74147 | ||
40 | IBM-MIT-Purdue | 6303 | 2019-12-12 | Purdue | 0.66900 | 0.096 | 100% | 100% | 0.75098 | ||
41 | IBM-MIT-Purdue | 6547 | 2019-12-18 | Purdue | 0.67114 | 0.099 | 100% | 100% | 0.75100 | ||
42 | UMD | 1907 | 2019-08-13 | UMD | 0.67831 | 0.727 | 0.74917 | ||||
43 | IBM-MIT-Purdue | 4999 | 2019-11-25 | Purdue | 0.67912 | 0.098 | 100% | 98% | 0.76349 | ||
44 | INF | 11670 | 2020-01-28 | INF_MEVA1 | 0.67983 | 0.928 | 100% | 100% | 0.78032 | ||
45 | IBM-MIT-Purdue | 5001 | 2019-11-25 | Purdue | 0.68547 | 0.099 | 100% | 98% | 0.76606 | ||
46 | IBM-MIT-Purdue | 11188 | 2020-01-25 | Purdue | 0.69501 | 0.108 | 100% | 98% | 0.75741 | ||
47 | UCF | 5596 | 2019-12-06 | UCF-P | 0.69848 | 0.304 | 86% | 100% | 0.73165 | ||
48 | IBM-MIT-Purdue | 6443 | 2019-12-17 | Purdue | 0.70117 | 0.82690 | 1.072 | 100% | 100% | 0.77819 | 0.87029 |
49 | IBM-MIT-Purdue | 4876 | 2019-11-19 | Purdue | 0.70382 | 0.088 | 97% | 98% | 0.76211 | ||
50 | Team_Vision | 6865 | 2019-12-20 | STARK | 0.71736 | 0.793 | 97% | 100% | 0.77673 | ||
51 | Team_Vision | 4434 | 2019-11-05 | STARK | 0.71911 | 0.774 | 97% | 100% | 0.77884 | ||
52 | UCF | 5439 | 2019-12-04 | UCF-P | 0.72830 | 0.304 | 86% | 100% | 0.75572 | ||
53 | IBM-MIT-Purdue | 8154 | 2020-01-09 | Purdue | 0.74090 | 0.380 | 100% | 100% | 0.82467 | ||
54 | IBM-MIT-Purdue | 9978 | 2020-01-18 | Purdue | 0.74091 | 0.145 | 100% | 100% | 0.82468 | ||
55 | UCF | 5077 | 2019-11-27 | UCF-P | 0.74243 | 0.312 | 86% | 100% | 0.77197 | ||
56 | IBM-MIT-Purdue | 4228 | 2019-10-31 | Purdue | 0.75410 | 0.093 | 97% | 98% | 0.82355 | ||
57 | IBM-MIT-Purdue | 4520 | 2019-11-08 | Purdue | 0.75509 | 0.087 | 100% | 98% | 0.82359 | ||
58 | IBM-MIT-Purdue | 10037 | 2020-01-19 | Purdue | 0.79701 | 0.151 | 86% | 100% | 0.84131 | ||
59 | IBM-MIT-Purdue | 4179 | 2019-10-30 | Purdue | 0.81573 | 0.093 | 97% | 98% | 0.86015 | ||
60 | IBM-MIT-Purdue | 10041 | 2020-01-19 | Purdue | 0.82020 | 0.143 | 100% | 100% | 0.88273 | ||
61 | IBM-MIT-Purdue | 3830 | 2019-10-21 | Purdue | 0.82025 | 0.246 | 100% | 97% | 0.86425 | ||
62 | Team_Vision | 4071 | 2019-10-29 | STARK | 0.82121 | 0.757 | 75% | 100% | 0.85712 | ||
63 | Team_Vision | 8506 | 2020-01-12 | STARK | 0.82442 | 0.739 | 94% | 58% | 0.85486 | ||
64 | Team_Vision | 3557 | 2019-10-08 | STARK | 0.83722 | 0.723 | 78% | 100% | 0.88187 | ||
65 | IBM-MIT-Purdue | 10038 | 2020-01-19 | Purdue | 0.84098 | 0.144 | 81% | 100% | 0.87514 | ||
66 | Team_Vision | 3382 | 2019-09-23 | STARK | 0.84258 | 0.726 | 81% | 100% | 0.88996 | ||
67 | UCF | 3472 | 2019-09-26 | UCF-P | 0.84269 | 0.292 | 100% | 100% | 0.89750 | ||
68 | INF | 8367 | 2020-01-11 | set3 | 0.84990 | 0.88917 | 1.332 | 89% | 85% | 0.89547 | 0.92076 |
69 | IBM-MIT-Purdue | 8290 | 2020-01-10 | Purdue | 0.85131 | 0.301 | 100% | 100% | 0.88623 | ||
70 | INF | 7212 | 2019-12-29 | INF_MEVA1 | 0.85864 | 0.922 | 89% | 100% | 0.87950 | ||
71 | INF | 6967 | 2019-12-23 | set3 | 0.86506 | 0.911 | 89% | 100% | 0.88947 | ||
72 | IBM-MIT-Purdue | 10973 | 2020-01-24 | Purdue | 0.86613 | 0.151 | 72% | 100% | 0.88674 | ||
73 | IBM-MIT-Purdue | 10972 | 2020-01-24 | Purdue | 0.86613 | 0.152 | 72% | 100% | 0.88674 | ||
74 | IBM-MIT-Purdue | 10896 | 2020-01-23 | Purdue | 0.86614 | 0.143 | 72% | 100% | 0.88673 | ||
75 | IBM-MIT-Purdue | 9866 | 2020-01-17 | Purdue | 0.86887 | 0.142 | 72% | 100% | 0.88733 | ||
76 | UCF | 3104 | 2019-09-10 | UCF-P | 0.87068 | 0.291 | 97% | 100% | 0.91260 | ||
77 | INF | 6965 | 2019-12-23 | INF_MEVA1 | 0.87216 | 0.906 | 89% | 100% | 0.89303 | ||
78 | IBM-MIT-Purdue | 10040 | 2020-01-19 | Purdue | 0.87422 | 0.147 | 70% | 100% | 0.89421 | ||
79 | Team_Vision | 2694 | 2019-08-27 | STARK | 0.87562 | 0.91641 | 1.795 | 86% | 80% | 0.90833 | 0.92705 |
80 | IBM-MIT-Purdue | 9873 | 2020-01-17 | Purdue | 0.87606 | 0.139 | 70% | 100% | 0.89165 | ||
81 | UCF | 4510 | 2019-11-06 | UCF-P | 0.87657 | 0.293 | 97% | 100% | 0.91490 | ||
82 | INF | 7152 | 2019-12-26 | speed1x | 0.88292 | 0.989 | 89% | 86% | 0.89853 | ||
83 | Team_Vision | 12208 | 2020-02-11 | STARK | 0.89021 | 0.783 | 94% | 36% | 0.89837 | ||
84 | UCF | 2014 | 2019-08-15 | UCF-P | 0.89321 | 0.236 | 91% | 81% | 0.92557 | ||
85 | Team_Vision | 12319 | 2020-02-12 | STARK | 0.89465 | 0.841 | 97% | 26% | 0.89748 | ||
86 | UCF | 4060 | 2019-10-25 | UCF-P | 0.89623 | 0.273 | 97% | 100% | 0.92032 | ||
87 | Edge-Intelligence | 7427 | 2020-01-02 | Edge_Intelligence | 0.92170 | 0.736 | 13% | 96% | 0.95539 | ||
88 | INF | 3276 | 2019-09-13 | INF_MEVA_IOD | 0.93009 | 0.588 | 94% | 91% | 0.94479 | ||
89 | INF | 8273 | 2020-01-10 | INF_MEVA1 | 0.93512 | 0.95304 | 1.054 | 59% | 100% | 0.93680 | 0.95338 |
90 | INF | 2928 | 2019-08-29 | INF_MEVA1 | 0.97344 | 0.788 | 89% | 98% | 0.98175 | ||
91 | IBM-MIT-Purdue | 8278 | 2020-01-10 | Purdue | 0.97569 | 0.361 | 29% | 100% | 0.98028 | ||
92 | INF | 7151 | 2019-12-26 | meva_inf2 | 0.97762 | 0.931 | 83% | 100% | 0.97655 | ||
93 | IBM-MIT-Purdue | 8287 | 2020-01-10 | Purdue | 0.97778 | 0.361 | 24% | 100% | 0.98142 | ||
94 | IBM-MIT-Purdue | 8284 | 2020-01-10 | Purdue | 0.97778 | 0.374 | 24% | 100% | 0.98142 | ||
95 | IBM-MIT-Purdue | 8288 | 2020-01-10 | Purdue | 0.97778 | 0.359 | 24% | 100% | 0.98142 | ||
96 | IBM-MIT-Purdue | 8286 | 2020-01-10 | Purdue | 0.97778 | 0.357 | 24% | 100% | 0.98142 | ||
97 | IBM-MIT-Purdue | 8289 | 2020-01-10 | Purdue | 0.97778 | 0.370 | 24% | 100% | 0.98142 | ||
98 | INF | 4959 | 2019-11-21 | meva_inf2 | 0.98157 | 0.98830 | 1.703 | 83% | 89% | 0.98886 | 0.99250 |
99 | DIVA TE Baseline | 1786 | 2019-08-02 | RC3D | 0.98216 | 0.959 | 29% | 100% | 0.98722 | ||
100 | INF | 3163 | 2019-09-12 | speed1x | 0.98315 | 0.860 | 78% | 94% | 0.98496 | ||
101 | Team_Vision | 8299 | 2020-01-10 | STARK | 0.99165 | 0.061 | 83% | 86% | 0.99143 | ||
102 | Team_Vision | 8295 | 2020-01-10 | STARK | 0.99211 | 0.060 | 72% | 96% | 0.99190 | ||
103 | DIVA TE Baseline | 7911 | 2020-01-07 | RC3D | 0.99255 | 0.99552 | 2.791 | 27% | 75% | 0.99302 | 0.99521 |
104 | DIVA TE Baseline | 7928 | 2020-01-07 | RC3D-WHEEL | 0.99608 | 0.99608 | 2.715 | 27% | 37% | 0.99580 | 0.99580 |
105 | INF | 2682 | 2019-08-27 | INF_MEVA1 | 1.00000 | 0.000 | 0% | 100% | 1.00000 | ||
106 | Team_Vision | 8313 | 2020-01-10 | STARK | 1.00000 | 0.049 | 0% | 79% | 1.00000 | ||
107 | IBM-MIT-Purdue | 6056 | 2019-12-11 | Purdue | 1.00000 | 0.037 | 0% | 100% | 1.00000 | ||
108 | IBM-MIT-Purdue | 6055 | 2019-12-11 | Purdue | 1.00000 | 0.037 | 0% | 98% | 1.00000 | ||
109 | IBM-MIT-Purdue | 6000 | 2019-12-10 | Purdue | 1.00000 | 0.037 | 0% | 98% | 1.00000 | ||
110 | Jay Chou | 5904 | 2019-12-10 | Jack | 1.00000 | 0.179 | 0% | 0% | 1.00000 | ||
111 | IBM-MIT-Purdue | 5818 | 2019-12-09 | Purdue | 1.00000 | 0.037 | 0% | 98% | 1.00000 | ||
112 | WeiLai | 5817 | 2019-12-09 | Tryyitry | 1.00000 | 0.177 | 0% | 0% | 1.00000 | ||
113 | WeiLai | 5651 | 2019-12-07 | Tryyitry | 1.00000 | 0.178 | 0% | 0% | 1.00000 | ||
114 | WeiLai | 5576 | 2019-12-05 | Tryyitry | 1.00000 | 0.178 | 0% | 0% | 1.00000 | ||
115 | IBM-MIT-Purdue | 5506 | 2019-12-04 | Purdue | 1.00000 | 0.039 | 0% | 98% | 1.00000 | ||
116 | IBM-MIT-Purdue | 11642 | 2020-01-27 | Purdue | 1.00000 | 0.016 | 0% | 100% | 1.00000 | ||
117 | WeiLai | 5452 | 2019-12-04 | Tryyitry | 1.00000 | 0.178 | 0% | 0% | 1.00000 | ||
118 | IBM-MIT-Purdue | 5384 | 2019-12-02 | Purdue | 1.00000 | 0.039 | 0% | 98% | 1.00000 | ||
119 | INF | 4513 | 2019-11-08 | INF_MEVA1 | 1.00000 | 0.039 | 0% | 98% | 1.00000 |
SDL19-scoring-EO
SDL19-scoring-IR
RANK | SCORING REQUEST NAME | TEAM NAME | SUBMISSION ID | SYSTEM NAME | SYSTEM ID | PARTIAL AUDC* | RELATIVE PROCESSING TIME | DETECTED ACTIVITY TYPES† | PROCESSED FILES‡ | MEAN-P_MISS@0.04TFA |
---|---|---|---|---|---|---|---|---|---|---|
1 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20190903-171132-2439.sr-20190904-151050-8165 | UMD | 1907 | UMD | 281 | 0.82140 | 0.727 | 97% | 94% | 0.87521 |
2 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00281_UMD_20190905-120934-4541.sr-20190905-120934-7789 | UMD | 2074 | UMD | 281 | 0.84254 | 0.744 | 97% | 94% | 0.88553 |
3 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20190913-094214-5138.sr-20190913-094214-7316 | UCF | 3104 | UCF-P | 270 | 0.96630 | 0.291 | 78% | 100% | 0.97125 |
4 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00263_NIST-TEST_20190814-164723-7643.sr-20190814-164723-9641 | NIST-TEST | 1790 | NIST Test | 263 | 0.99139 | 0.930 | 27% | 100% | 0.99280 |
5 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00276_DIVA-TE-Baseline_20190919-133858-1097.sr-20190919-133858-3388 | DIVA TE Baseline | 1786 | RC3D | 276 | 0.99139 | 0.959 | 27% | 100% | 0.99280 |
6 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20190930-141448-4379.sr-20190930-141451-2761 | Team_Vision | 3382 | STARK | 282 | 0.99268 | 0.726 | 45% | 100% | 0.99345 |
7 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00270_UCF_20190905-151917-3849.sr-20190905-151917-6400 | UCF | 2014 | UCF-P | 270 | 0.99346 | 0.236 | 56% | 100% | 0.99547 |
8 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20190905-154602-1817.sr-20190905-154603-7118 | Team_Vision | 2048 | STARK | 282 | 0.99682 | 1.132 | 51% | 100% | 0.99673 |
9 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00282_Team-Vision_20190905-165243-1769.sr-20190905-165244-9598 | Team_Vision | 2694 | STARK | 282 | 0.99804 | 1.795 | 48% | 94% | 0.99869 |
10 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20190903-152553-6173.sr-20190903-152553-9672 | INF | 2928 | INF_MEVA1 | 283 | 1.00000 | 0.788 | 54% | 100% | 1.00000 |
11 | ActEV-2018_AD_ActEV19-SDL-Scoring_SYS-00283_INF_20190828-173003-1496.sr-20190828-173003-3976 | INF | 2682 | INF_MEVA1 | 283 | 1.00000 | 0.000 | 0% | 100% | 1.00000 |