Benchmark:
MOTS |
Short name:
ReMOTS_
Description:
Reference:
F. Yang, X. Chang, C. Dang, Z. Zheng, S. Sakti, S. Nakamura, Y. Wu. ReMOTS: Refining Multi-Object Tracking and Segmentation. In , 2020.
Last submitted:
July 27, 2020 (4 years ago)
Published:
July 27, 2020 at 14:00:09 CET
Submissions:
1
Project page / code:
n/a
Open source:
No
Hardware:
1080ti, 3Ghz
Runtime:
0.3 Hz
Benchmark performance:
Sequence | sMOTSA | IDF1 | MOTSA | MOTSP | MODSA | MT | ML | TP | FP | FN | Rcll | Prcn | ID Sw. | Frag |
MOTS | 70.4 | 75.0 | 84.4 | 84.0 | 85.1 | 248 (75.6) | 12 (3.7) | 28,270 | 819 | 3,999 | 87.6 | 97.2 | 231 (263.7) | 579 (660.9) |
Detailed performance:
Sequence | sMOTSA | IDF1 | MOTSA | MOTSP | MODSA | MT | ML | TP | FP | FN | Rcll | Prcn | ID Sw. | Frag |
MOTS20-01 | 69.1 | 79.8 | 84.5 | 82.5 | 84.8 | 8 | 0 | 2,723 | 88 | 383 | 87.7 | 96.9 | 11 | 51 |
MOTS20-06 | 75.5 | 73.6 | 89.4 | 85.0 | 90.6 | 156 | 4 | 9,129 | 240 | 685 | 93.0 | 97.4 | 116 | 225 |
MOTS20-07 | 65.8 | 70.1 | 81.0 | 81.9 | 81.6 | 36 | 4 | 10,798 | 294 | 2,080 | 83.8 | 97.3 | 76 | 219 |
MOTS20-12 | 72.3 | 84.3 | 83.4 | 87.2 | 83.8 | 48 | 4 | 5,620 | 197 | 851 | 86.8 | 96.6 | 28 | 84 |
Raw data: