FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

4 Apr 2020 Yifu Zhang Chunyu Wang Xinggang Wang Wen-Jun Zeng Wenyu Liu

There has been remarkable progress on object detection and re-identification (re-ID) in recent years which are the key components of multi-object tracking. However, little attention has been focused on jointly accomplishing the two tasks in a single network... (read more)

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Results from the Paper


 Ranked #1 on Multi-Object Tracking on MOT16 (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Multi-Object Tracking 2DMOT15 FairMOT MOTA 60.6 # 1
Multi-Object Tracking MOT16 FairMOT MOTA 74.9 # 1
Multi-Object Tracking MOT17 FairMOT MOTA 73.7 # 1
Multi-Object Tracking MOT20 FairMOT MOTA 61.8 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet