TDANet: Transformer-Based Detection and Association Network for Multi-Object Tracking
MOT17-01-DPM
Short name:
TDANet
Detector:
Private
Description:
Reference:
Yu-Lei Li, Xiamen University, chaorengui@gmail.com
Last submitted:
July 02, 2021 (2 years ago)
Published:
July 02, 2021 at 04:37:37 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
a 2080TI gpu
Runtime:
21.6 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT17 | 77.2 | 75.7 | 61.9 | 1,041 (44.2) | 327 (13.9) | 23,184 | 103,377 | 81.7 | 95.2 | 61.5 | 62.7 | 66.7 | 78.4 | 67.7 | 78.9 | 83.5 | 1.3 | 2,112 (0.0) | 6,237 (0.0) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT17-01-DPM | 64.8 | 64.3 | 51.2 | 12 | 2 | 438 | 1,816 | 71.8 | 91.4 | 49.5 | 53.3 | 54.7 | 75.9 | 58.5 | 74.4 | 82.0 | 1.0 | 19 | 110 |
| MOT17-01-FRCNN | 64.8 | 64.3 | 51.2 | 12 | 2 | 438 | 1,816 | 71.8 | 91.4 | 49.5 | 53.3 | 54.7 | 75.9 | 58.5 | 74.4 | 82.0 | 1.0 | 19 | 110 |
| MOT17-01-SDP | 64.8 | 64.3 | 51.2 | 12 | 2 | 438 | 1,816 | 71.8 | 91.4 | 49.5 | 53.3 | 54.7 | 75.9 | 58.5 | 74.4 | 82.0 | 1.0 | 19 | 110 |
| MOT17-03-DPM | 91.3 | 85.3 | 71.8 | 132 | 1 | 3,613 | 5,442 | 94.8 | 96.5 | 68.4 | 75.4 | 74.0 | 80.8 | 80.7 | 82.2 | 85.2 | 2.4 | 87 | 453 |
| MOT17-03-FRCNN | 91.3 | 85.3 | 71.8 | 132 | 1 | 3,613 | 5,442 | 94.8 | 96.5 | 68.4 | 75.4 | 74.0 | 80.8 | 80.7 | 82.2 | 85.2 | 2.4 | 87 | 453 |
| MOT17-03-SDP | 91.3 | 85.3 | 71.8 | 132 | 1 | 3,613 | 5,442 | 94.8 | 96.5 | 68.4 | 75.4 | 74.0 | 80.8 | 80.7 | 82.2 | 85.2 | 2.4 | 87 | 453 |
| MOT17-06-DPM | 63.6 | 67.0 | 52.8 | 85 | 47 | 524 | 3,633 | 69.2 | 94.0 | 53.8 | 52.0 | 60.8 | 75.6 | 56.3 | 76.4 | 82.4 | 0.4 | 128 | 231 |
| MOT17-06-FRCNN | 63.6 | 67.0 | 52.8 | 85 | 47 | 524 | 3,633 | 69.2 | 94.0 | 53.8 | 52.0 | 60.8 | 75.6 | 56.3 | 76.4 | 82.4 | 0.4 | 128 | 231 |
| MOT17-06-SDP | 63.6 | 67.0 | 52.8 | 85 | 47 | 524 | 3,633 | 69.2 | 94.0 | 53.8 | 52.0 | 60.8 | 75.6 | 56.3 | 76.4 | 82.4 | 0.4 | 128 | 231 |
| MOT17-07-DPM | 67.9 | 62.6 | 49.2 | 24 | 2 | 809 | 4,526 | 73.2 | 93.9 | 45.0 | 53.9 | 48.5 | 70.9 | 58.4 | 74.8 | 81.0 | 1.6 | 87 | 298 |
| MOT17-07-FRCNN | 67.9 | 62.6 | 49.2 | 24 | 2 | 809 | 4,526 | 73.2 | 93.9 | 45.0 | 53.9 | 48.5 | 70.9 | 58.4 | 74.8 | 81.0 | 1.6 | 87 | 298 |
| MOT17-07-SDP | 67.9 | 62.6 | 49.2 | 24 | 2 | 809 | 4,526 | 73.2 | 93.9 | 45.0 | 53.9 | 48.5 | 70.9 | 58.4 | 74.8 | 81.0 | 1.6 | 87 | 298 |
| MOT17-08-DPM | 53.3 | 49.1 | 38.4 | 21 | 8 | 643 | 9,037 | 57.2 | 94.9 | 35.7 | 41.8 | 39.6 | 65.2 | 44.2 | 73.4 | 78.9 | 1.0 | 195 | 419 |
| MOT17-08-FRCNN | 53.3 | 49.1 | 38.4 | 21 | 8 | 643 | 9,037 | 57.2 | 94.9 | 35.7 | 41.8 | 39.6 | 65.2 | 44.2 | 73.4 | 78.9 | 1.0 | 195 | 419 |
| MOT17-08-SDP | 53.3 | 49.1 | 38.4 | 21 | 8 | 643 | 9,037 | 57.2 | 94.9 | 35.7 | 41.8 | 39.6 | 65.2 | 44.2 | 73.4 | 78.9 | 1.0 | 195 | 419 |
| MOT17-12-DPM | 55.0 | 65.3 | 50.9 | 28 | 19 | 848 | 3,032 | 65.0 | 86.9 | 55.3 | 47.3 | 59.9 | 78.4 | 53.3 | 71.2 | 82.6 | 0.9 | 22 | 123 |
| MOT17-12-FRCNN | 55.0 | 65.3 | 50.9 | 28 | 19 | 848 | 3,032 | 65.0 | 86.9 | 55.3 | 47.3 | 59.9 | 78.4 | 53.3 | 71.2 | 82.6 | 0.9 | 22 | 123 |
| MOT17-12-SDP | 55.0 | 65.3 | 50.9 | 28 | 19 | 848 | 3,032 | 65.0 | 86.9 | 55.3 | 47.3 | 59.9 | 78.4 | 53.3 | 71.2 | 82.6 | 0.9 | 22 | 123 |
| MOT17-14-DPM | 56.8 | 68.0 | 46.1 | 45 | 30 | 853 | 6,973 | 62.3 | 93.1 | 50.5 | 42.9 | 53.9 | 74.8 | 46.3 | 69.2 | 77.1 | 1.1 | 166 | 445 |
| MOT17-14-FRCNN | 56.8 | 68.0 | 46.1 | 45 | 30 | 853 | 6,973 | 62.3 | 93.1 | 50.5 | 42.9 | 53.9 | 74.8 | 46.3 | 69.2 | 77.1 | 1.1 | 166 | 445 |
| MOT17-14-SDP | 56.8 | 68.0 | 46.1 | 45 | 30 | 853 | 6,973 | 62.3 | 93.1 | 50.5 | 42.9 | 53.9 | 74.8 | 46.3 | 69.2 | 77.1 | 1.1 | 166 | 445 |
Raw data:
