Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation-Reference-Cited by-同舟云学术

Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Chen Qi¹,Yang Lingxiao¹,Lai Jianhuang¹,Xie Xiaohua¹

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-Sen University,China

Funder

Key-Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878445.pdf?arnumber=9878445

Reference53 articles.

1. Visualizing data using t-sne;van der maaten;Journal of Machine Learning Research,2008

2. Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

3. Part-aware prototype network for few-shot semantic segmentation;liu;European Conference on Computer Vision,0

4. Leveraging instance-, image-and dataset-level information for weakly supervised instance segmentation;liu;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

5. Weakly Supervised Segmentation with Maximum Bipartite Graph Matching

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