Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor-Reference-Cited by-同舟云学术

Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Kweon Hyeokjun¹,Yoon Sung-Hoon¹,Yoon Kuk-Jin¹

Affiliation:

1. KAIST,Visual Intelligence Lab.,Korea

Funder

Institute of Information and Communications Technology Planning & Evaluation(IITP)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204366.pdf?arnumber=10204366

Reference52 articles.

1. CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation

2. Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation

3. L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

4. Generative adversarial networks

5. Regional semantic contrast and aggregation for weakly su-pervised semantic segmentation;zhou;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

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