Highlights
- Support arXiv 2021 manuscript 'ByteTrack: Multi-Object Tracking by Associating Every Detection Box' ([385](https://github.com/open-mmlab/mmtracking/pull/385)), ([#383](https://github.com/open-mmlab/mmtracking/pull/383)), ([#372](https://github.com/open-mmlab/mmtracking/pull/372))
- Support ICCV 2019 paper 'Video Instance Segmentation' ([304](https://github.com/open-mmlab/mmtracking/pull/304)), ([#303](https://github.com/open-mmlab/mmtracking/pull/303)), ([#298](https://github.com/open-mmlab/mmtracking/pull/298)), ([#292](https://github.com/open-mmlab/mmtracking/pull/292))
New Features
- Support CrowdHuman dataset for MOT ([366](https://github.com/open-mmlab/mmtracking/pull/366))
- Support VOT2018 dataset for SOT ([305](https://github.com/open-mmlab/mmtracking/pull/305))
- Support YouTube-VIS dataset for VIS ([290](https://github.com/open-mmlab/mmtracking/pull/290))
Bug Fixes
- Fix two significant bugs in SOT and provide new SOT pretrained models ([349](https://github.com/open-mmlab/mmtracking/pull/349))
Improvements
- Refactor LaSOT, TrackingNet dataset and support GOT-10K datasets ([296](https://github.com/open-mmlab/mmtracking/pull/296))
- Support persisitent workers ([348](https://github.com/open-mmlab/mmtracking/pull/348))