Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

13 October 2021

Papers citing "Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation"

9 / 9 papers shown

Title
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation Bingfeng Zhang Siyue Yu Yunchao Wei Yao Zhao Jimin Xiao VLM 20 8 0 17 Jun 2024
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation Junehyoung Kwon Eunju Lee Yunsung Cho Youngbin Kim 23 4 0 28 May 2024
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation Zhiwei Yang Yucong Meng Kexue Fu Shuo Wang Zhijian Song 19 4 0 12 Apr 2024
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentation Guoqing Yang Chuanglu Zhu Yu Zhang 11 1 0 10 May 2023
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation Chunyan Wang Dong Zhang Liyan Zhang Jinhui Tang 11 7 0 18 Apr 2023
Removing supervision in semantic segmentation with local-global matching and area balancing Simone Rossetti Nico Sama F. Pirri VLM 17 0 0 30 Mar 2023
Token Contrast for Weakly-Supervised Semantic Segmentation Lixiang Ru Heliang Zheng Yibing Zhan Bo Du ViT 11 85 0 02 Mar 2023
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers Lixiang Ru Yibing Zhan Baosheng Yu Bo Du ViT 28 180 0 05 Mar 2022
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 211 739 0 28 Mar 2018