Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

23 Jun 2020 • Yongxin Wang • Kris Kitani • Xinshuo Weng

Object detection and data association are critical components in multi-object tracking (MOT) systems. Despite the fact that the two components are dependent on each other, prior work often designs detection and data association modules separately which are trained with different objectives... (read more)

PDF Abstract

Tasks
Add Remove

Results from the Paper
Edit

 Ranked #1 on Multi-Object Tracking on MOT20

     Get a GitHub badge
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Multi-Object Tracking 2D MOT 2015 GSDT MOTA 60.7 # 1
Compare
Multi-Object Tracking MOT16 GSDT MOTA 66.7 # 3
Compare
Multi-Object Tracking MOT17 GSDT MOTA 66.2 # 3
Compare
Multi-Object Tracking MOT20 GSDT MOTA 67.1 # 1
Compare

Methods used in the Paper
Add Remove

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
Contact us on: hello@paperswithcode.com. Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Privacy Cookies policy