Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation

@article{Park2020LearningDN,
  title={Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation},
  author={Hyojin Park and Jayeon Yoo and Seohyeong Jeong and Ganesh Venkatesh and Nojun Kwak},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={8401-8410}
}
  • Hyojin ParkJayeon Yoo Nojun Kwak
  • Published 22 December 2020
  • Computer Science
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Current state-of-the-art approaches for Semi-supervised Video Object Segmentation (Semi-VOS) propagates information from previous frames to generate segmentation mask for the current frame. This results in high-quality segmentation across challenging scenarios such as changes in appearance and occlusion. But it also leads to unnecessary computations for stationary or slow-moving objects where the change across frames is minimal. In this work, we exploit this observation by using temporal… 

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