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Reducing Information Bottleneck for Weakly Supervised Semantic
  Segmentation

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

13 October 2021
Jungbeom Lee
Jooyoung Choi
J. Mok
Sungroh Yoon
    SSeg
ArXiv (abs)PDFHTMLGithub (88★)

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

20 / 20 papers shown
Title
Tackling Ambiguity from Perspective of Uncertainty Inference and
  Affinity Diversification for Weakly Supervised Semantic Segmentation
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
130
4
0
12 Apr 2024
Toward Interactive Regional Understanding in Vision-Large Language
  Models
Toward Interactive Regional Understanding in Vision-Large Language Models
Jungbeom Lee
Sanghyuk Chun
Sangdoo Yun
VLM
82
3
0
27 Mar 2024
Weakly Supervised Change Detection via Knowledge Distillation and
  Multiscale Sigmoid Inference
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference
Binghao Lu
Caiwen Ding
Jinbo Bi
Dongjin Song
62
3
0
09 Mar 2024
Singular Regularization with Information Bottleneck Improves Model's
  Adversarial Robustness
Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness
Guanlin Li
Naishan Zheng
Man Zhou
Jie Zhang
Tianwei Zhang
AAML
49
0
0
04 Dec 2023
Masked Collaborative Contrast for Weakly Supervised Semantic
  Segmentation
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
Fangwen Wu
Jingxuan He
Yufei Yin
Y. Hao
Gang Huang
Lechao Cheng
ISeg
82
6
0
15 May 2023
A Self-Training Framework Based on Multi-Scale Attention Fusion for
  Weakly Supervised Semantic Segmentation
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentation
Guoqing Yang
Chuanglu Zhu
Yu Zhang
69
1
0
10 May 2023
Coupling Global Context and Local Contents for Weakly-Supervised
  Semantic Segmentation
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation
Chunyan Wang
Dong Zhang
Liyan Zhang
Jinhui Tang
86
9
0
18 Apr 2023
Removing supervision in semantic segmentation with local-global matching
  and area balancing
Removing supervision in semantic segmentation with local-global matching and area balancing
Simone Rossetti
Nico Sama
F. Pirri
VLM
82
0
0
30 Mar 2023
Token Contrast for Weakly-Supervised Semantic Segmentation
Token Contrast for Weakly-Supervised Semantic Segmentation
Lixiang Ru
Heliang Zheng
Yibing Zhan
Bo Du
ViT
106
91
0
02 Mar 2023
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly
  Supervised Semantic Segmentation
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
Yuqi Lin
Minghao Chen
Wenxiao Wang
Boxi Wu
Ke Li
Binbin Lin
Haifeng Liu
Xiaofei He
VLMCLIP
144
128
0
16 Dec 2022
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An
  Overview
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
Wenqi Ren
Yang Tang
Qiyu Sun
Chaoqiang Zhao
Qing‐Long Han
VLM
72
43
0
13 Nov 2022
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised
  Semantic Segmentation
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation
Junliang Chen
Xiaodong Zhao
Cheng Luo
Linlin Shen
ViT
118
3
0
26 Oct 2022
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware
  Transmitter and Dynamic Data
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data
Hongwei Zhang
Shuo Shao
M. Tao
X. Bi
Khaled B. Letaief
84
140
0
30 Apr 2022
Threshold Matters in WSSS: Manipulating the Activation for the Robust
  and Accurate Segmentation Model Against Thresholds
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
Minhyun Lee
Dongseob Kim
Hyunjung Shim
VLM
131
68
0
30 Mar 2022
Importance Sampling CAMs for Weakly-Supervised Segmentation
Importance Sampling CAMs for Weakly-Supervised Segmentation
Arvi Jonnarth
Michael Felsberg
74
7
0
23 Mar 2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Jungbeom Lee
Seong Joon Oh
Sangdoo Yun
Junsuk Choe
Eunji Kim
Sung-Hoon Yoon
WSOLOOD
531
88
0
08 Mar 2022
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic
  Segmentation with Transformers
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
Lixiang Ru
Yibing Zhan
Baosheng Yu
Bo Du
ViT
103
186
0
05 Mar 2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Zhaozheng Chen
Tan Wang
Xiongwei Wu
Xiansheng Hua
Hanwang Zhang
Qianru Sun
WSOLVLM
147
149
0
02 Mar 2022
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance
  Segmentation via Semantic Knowledge Transfer and Self-Refinement
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
Beomyoung Kim
Y. Yoo
Chae-Eun Rhee
Junmo Kim
ISeg
264
35
0
20 Sep 2021
Dynamic Feature Regularized Loss for Weakly Supervised Semantic
  Segmentation
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Bingfeng Zhang
Jimin Xiao
Yao Zhao
97
13
0
03 Aug 2021
1