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https://github.com/skyworkai/daq-vs

Code For Our Work: DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries [ECCV-2024]
https://github.com/skyworkai/daq-vs

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

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# [DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries](https://arxiv.org/pdf/2404.00086.pdf)
Yikang Zhou, Tao Zhang, Shunping Ji, Shuicheng Yan, Xiangtai Li

**Project Page: [https://zhang-tao-whu.github.io/projects/DVIS_DAQ](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](https://zhang-tao-whu.github.io/projects/DVIS_DAQ/).

## Citing DVIS-DAQ

```BibTeX
@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},
}
```