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MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation
v1v2v3 (latest)

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation

AAAI Conference on Artificial Intelligence (AAAI), 2024
20 January 2025
Zhiwei Yang
Yucong Meng
Kexue Fu
Shuo Wang
Zhijian Song
ArXiv (abs)PDFHTML

Papers citing "MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation"

31 / 31 papers shown
Title
AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations
AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations
Litian Gong
Fatemeh Bahrani
Yutai Zhou
Amin Banayeeanzade
Jiachen Li
Erdem Bıyık
56
0
0
23 Nov 2025
Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision
Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision
Zheyuan Zhang
Wang Zhang
139
0
0
29 Jul 2025
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization
Zheyuan Zhang
Yen-chia Hsu
164
0
0
29 Jul 2025
Semantic segmentation with reward
Semantic segmentation with reward
Xie Ting
Ye Huang
Zhilin Liu
Lixin Duan
421
0
0
23 May 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic
  Surgical Video-Language Pretraining
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
Ming Hu
Kun Yuan
Yaling Shen
Feilong Tang
Xiaohao Xu
...
Jin Ye
N. Padoy
Nassir Navab
Junjun He
Zongyuan Ge
VLMCLIP
360
21
0
23 Nov 2024
Vision Transformers Need Registers
Vision Transformers Need RegistersInternational Conference on Learning Representations (ICLR), 2023
Zilong Chen
Maxime Oquab
Julien Mairal
Huaping Liu
ViT
308
576
0
28 Sep 2023
Extracting Class Activation Maps from Non-Discriminative Features as
  well
Extracting Class Activation Maps from Non-Discriminative Features as wellComputer Vision and Pattern Recognition (CVPR), 2023
Zhaozheng Chen
Qianru Sun
VLMWSOL
280
66
0
18 Mar 2023
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain
  Analysis: From Theory to Practice
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to PracticeInternational Conference on Learning Representations (ICLR), 2022
Peihao Wang
Wenqing Zheng
Tianlong Chen
Zinan Lin
ViT
195
186
0
09 Mar 2022
Stepwise Feature Fusion: Local Guides Global
Stepwise Feature Fusion: Local Guides GlobalInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Jinfeng Wang
Qiming Huang
Feilong Tang
Jia Meng
Jionglong Su
Sifan Song
ViTMedIm
197
239
0
07 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 TransformersComputer Vision and Pattern Recognition (CVPR), 2022
Lixiang Ru
Yibing Zhan
Baosheng Yu
Bo Du
ViT
188
234
0
05 Mar 2022
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
306
174
0
14 Oct 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic
  Segmentation
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Bingfeng Zhang
Jimin Xiao
Jianbo Jiao
Yunchao Wei
Yao-Min Zhao
223
113
0
08 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Edouard Grave
Julien Mairal
Piotr Bojanowski
Armand Joulin
1.8K
7,623
0
29 Apr 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSegVLMCLIP
629
832
0
22 Apr 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised
  Object Localization
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object LocalizationIEEE International Conference on Computer Vision (ICCV), 2021
Wei Gao
Fang Wan
Xingjia Pan
Zhiliang Peng
Qi Tian
Zhenjun Han
Bolei Zhou
QiXiang Ye
ViTWSOL
350
239
0
27 Mar 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
  Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Jungbeom Lee
Jihun Yi
Chaehun Shin
Sungroh Yoon
ISeg
190
211
0
16 Mar 2021
Context Decoupling Augmentation for Weakly Supervised Semantic
  Segmentation
Context Decoupling Augmentation for Weakly Supervised Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Yukun Su
Rui Sun
Guosheng Lin
Qingyao Wu
225
140
0
02 Mar 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attentionInternational Conference on Machine Learning (ICML), 2020
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Edouard Grave
ViT
525
8,073
0
23 Dec 2020
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Group-Wise Semantic Mining for Weakly Supervised Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2020
Xueyi Li
Tianfei Zhou
Jianwu Li
Yi Zhou
Zhaoxiang Zhang
278
139
0
09 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.2K
53,111
0
22 Oct 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2019
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
965
13,742
0
13 Nov 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Shucheng Zhou
D. Yin
419
2,109
0
19 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
1.4K
9,930
0
03 Jan 2019
Learning random-walk label propagation for weakly-supervised semantic
  segmentation
Learning random-walk label propagation for weakly-supervised semantic segmentation
Paul Vernaza
Manmohan Chandraker
257
269
0
01 Feb 2018
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
941
19,883
0
02 Jun 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
220
1,068
0
18 Apr 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
674
10,084
0
14 Dec 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point SupervisionEuropean Conference on Computer Vision (ECCV), 2015
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
359
1,053
0
06 Jun 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
471
1,086
0
05 Mar 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in ContextEuropean Conference on Computer Vision (ECCV), 2014
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
8.8K
48,709
0
01 May 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge PotentialsNeural Information Processing Systems (NeurIPS), 2011
Philipp Krahenbuhl
V. Koltun
387
3,588
0
20 Oct 2012
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