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Zhongdao / UniTrack

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
MIT License
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ssib info #43

Closed Yulv-git closed 1 year ago

Yulv-git commented 1 year ago

https://github.com/Zhongdao/UniTrack/blob/a83e782f5c56c17ccf30f0e330cb50bd3349d5b7/model/model.py#L132 https://github.com/Zhongdao/UniTrack/blob/54347ba1bdba0903b241e00de2b5d0dc3c1a3d14/config/ssib_s3_womotion.yaml#L5 https://github.com/Zhongdao/UniTrack/blob/54347ba1bdba0903b241e00de2b5d0dc3c1a3d14/config/ssib_s3_womotion.yaml#L11

Excuse me, I have not been able to find an introduction to ssib in the paper and code. What is the full name of ssib, and where do I need to download the pre-trained model of ssib?

Thank you very much!

Zhongdao commented 1 year ago

Hi @Yulv-git , SSIB is a co-authored work of mine, unpublished yet. Sorry that the paper and code cannot be available in the near future. Please stay tuned if you are interested!

Yulv-git commented 1 year ago

Well, thank you. Look forward to the work and code publication.