论文阅读++++

注：红色未读，蓝色已读

1.arxiv

1. ByteTrack
    paper:
    code: https://github.com/ifzhang/ByteTrack
2. Patches Are All You Need?
    paper: https://openreview.net/forum?id=TVHS5Y4dNvM

2.cvpr2021

1. Track to Detect and Segment: An Online Multi-Object Tracker：
    paper: https://arxiv.org/abs/2103.08808
    code:https://github.com/JialianW/TraDeS
    demo:https://jialianwu.com/projects/TraDeS.html
2. Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
    paper: https://arxiv.org/abs/2103.16178
    code:https://github.com/jiaweihe1996/GMTracker
3. Transformer Tracking
    paper: https://arxiv.org/abs/2103.15436
    code: https://github.com/chenxin-dlut/TransT
4. Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
    paper:https://arxiv.org/abs/2103.11681
    code: https://github.com/594422814/TransformerTrack
5. Track to Detect and Segment: An Online Multi-Object Tracker
    paper: https://arxiv.org/abs/2103.08808
    code: https://github.com/JialianW/TraDeS
6. Learning a Proposal Classifier for Multiple Object Tracking
    paper: https://arxiv.org/abs/2103.07889
    code: https://github.com/daip13/LPC_MOT
7. Center-based 3D Object Detection and Tracking
    paper: https://arxiv.org/abs/2006.11275
    code: https://github.com/tianweiy/CenterPoint
8. Rotation Equivariant Siamese Networks for Tracking
    paper: https://arxiv.org/abs/2012.13078
    code: https://github.com/dkgupta90/re-siamnet

3.iccv2021

1. Learning Spatio-Temporal Transformer for Visual Tracking
    paper：https://arxiv.org/abs/2103.17154
    code：https://github.com/researchmm/Stark
2. Learn to Match: Automatic Matching Network Design for Visual Tracking
    paper: https://arxiv.org/abs/2108.00803
    code: https://github.com/JudasDie/SOTS