NLLMPa: Node Labeling Lifted Multicut Problem
MOT16-01
Benchmark:
MOT16 |
Short name:
NLLMPa
Detector:
Public
Description:
n/a
Reference:
E. Levinkov, J. Uhrig, S. Tang, M. Omran, E. Insafutdinov, A. Kirillov, C. Rother, T. Brox, B. Schiele, B. Andres. Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications. In CVPR, 2017.
Last submitted:
November 12, 2016 (4 years ago)
Published:
November 12, 2016 at 17:54:45 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
3.6 GHz, 1 Core
Runtime:
8.3 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MOTP | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT16 | 47.6 | 47.3 | 38.0 | 78.5 | 129 (17.0) | 307 (40.4) | 5,844 | 89,093 | 51.1 | 94.1 | 37.2 | 39.2 | 39.0 | 79.1 | 41.4 | 76.1 | 81.3 | 1.0 | 629 (12.3) | 768 (15.0) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MOTP | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT16-01 | 30.7 | 29.0 | 26.5 | 77.1 | 4 | 10 | 237 | 4,147 | 35.2 | 90.5 | 26.5 | 26.7 | 28.5 | 72.8 | 28.1 | 72.4 | 80.1 | 0.5 | 47 | 46 |
| MOT16-03 | 56.4 | 50.2 | 40.5 | 79.6 | 35 | 29 | 1,212 | 44,167 | 57.8 | 98.0 | 36.3 | 45.2 | 38.0 | 79.8 | 47.1 | 79.9 | 82.4 | 0.8 | 245 | 314 |
| MOT16-06 | 49.8 | 56.0 | 43.9 | 77.5 | 43 | 101 | 529 | 5,175 | 55.1 | 92.3 | 46.8 | 41.4 | 49.9 | 78.4 | 44.2 | 74.0 | 80.4 | 0.4 | 91 | 95 |
| MOT16-07 | 40.7 | 44.0 | 35.3 | 76.7 | 8 | 15 | 1,287 | 8,302 | 49.1 | 86.2 | 34.8 | 36.1 | 36.5 | 78.2 | 39.5 | 69.3 | 79.3 | 2.6 | 86 | 111 |
| MOT16-08 | 33.3 | 37.3 | 30.9 | 77.6 | 8 | 24 | 306 | 10,783 | 35.6 | 95.1 | 34.9 | 27.6 | 36.8 | 77.5 | 28.5 | 76.3 | 80.5 | 0.5 | 71 | 84 |
| MOT16-12 | 43.3 | 56.3 | 43.0 | 75.5 | 19 | 41 | 586 | 4,091 | 50.7 | 87.8 | 51.9 | 36.0 | 54.5 | 78.2 | 39.4 | 68.2 | 79.0 | 0.7 | 28 | 28 |
| MOT16-14 | 23.3 | 37.1 | 28.0 | 74.3 | 12 | 87 | 1,687 | 12,428 | 32.8 | 78.2 | 33.6 | 23.6 | 35.1 | 78.0 | 25.9 | 61.8 | 77.7 | 2.2 | 61 | 90 |
Raw data:
