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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

10 May 2023
Guoqing Yang
Chuanglu Zhu
Yu Zhang
ArXivPDFHTML

Papers citing "A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentation"

4 / 4 papers shown
Title
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du
Zehua Fu
Qingjie Liu
Yunhong Wang
66
128
0
14 Oct 2021
Reducing Information Bottleneck for Weakly Supervised Semantic
  Segmentation
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee
Jooyoung Choi
J. Mok
Sungroh Yoon
SSeg
210
134
0
13 Oct 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
211
739
0
28 Mar 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
A. Hengel
SSeg
243
1,476
0
30 Nov 2016
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