Amodal Segmentation Based on Visible Region Segmentation and Shape Prior

Authors

  • Yuting Xiao ShanghaiTech University Shanghai Engineering Research Center of Intelligent Vision and Imaging
  • Yanyu Xu Institute of High Performance Computing, A*Star
  • Ziming Zhong ShanghaiTech University Shanghai Engineering Research Center of Intelligent Vision and Imaging
  • Weixin Luo ShanghaiTech University Shanghai Engineering Research Center of Intelligent Vision and Imaging
  • Jiawei Li Alibaba Group
  • Shenghua Gao ShanghaiTech University Shanghai Engineering Research Center of Intelligent Vision and Imaging

Keywords:

Segmentation

Abstract

Almost all existing amodal segmentation methods make the inferences of occluded regions by using features corresponding to the whole image. This is against the human's amodal perception, where human uses the visible part and the shape prior knowledge of the target to infer the occluded region. To mimic the behavior of human and solve the ambiguity in the learning, we propose a framework, it firstly estimates a coarse visible mask and a coarse amodal mask. Then based on the coarse prediction, our model infers the amodal mask by concentrating on the visible region and utilizing the shape prior in the memory. In this way, features corresponding to background and occlusion can be suppressed for amodal mask estimation. Consequently, the amodal mask would not be affected by what the occlusion is given the same visible regions. The leverage of shape prior makes the amodal mask estimation more robust and reasonable. Our proposed model is evaluated on three datasets. Experiments show that our proposed model outperforms existing state-of-the-art methods. The visualization of shape prior indicates that the category-specific feature in the codebook has certain interpretability. The code is available at https://github.com/YutingXiao/Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior.

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Published

2021-05-18

How to Cite

Xiao, Y., Xu, Y., Zhong, Z., Luo, W., Li, J., & Gao, S. (2021). Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. Proceedings of the AAAI Conference on Artificial Intelligence, 35(4), 2995-3003. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/16407

Issue

Section

AAAI Technical Track on Computer Vision III