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Code For Our Work: DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries [ECCV-2024]

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Yikang Zhou, Tao Zhang, Shunping Ji, Shuicheng Yan, Xiangtai Li

Project Page: https://zhang-tao-whu.github.io/projects/DVIS_DAQ

News

  • This work is accepted by ECCV-2024.

TODO

  • Release the code and pre-trained weights.

Features

  • We propose Dynamic Anchor Queries and Emergence and Disappearance Simulation to significantly enhance the ability to handle the emergence and disappearance of objects.
  • The Dynamic Anchor Queries and Emergence and Disappearance Simulation proposed by us can be easily integrated into existing query-based video segmentation methods.
  • By integrating with DVIS, we constructed DVIS-DAQ and achieved SOTA performance on YTVIS 19/21/22 and VIPSeg, with performance reaching as high as 57.1 AP on OVIS.

Demos

We provide visualization results for multiple challenging cases on the project page.

Citing DVIS-DAQ

@article{dvisdaq,
  title={DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries}, 
  author={Yikang Zhou and Tao Zhang and Shunping Ji and Shuicheng Yan and Xiangtai Li},
  journal={ECCV},
  year={2024},
}

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Code For Our Work: DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries [ECCV-2024]

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