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GETAM: Gradient-weighted Element-wise Transformer Attention Map for
  Weakly-supervised Semantic segmentation

GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation

6 December 2021
Weixuan Sun
Jing Zhang
Zheyuan Liu
Yiran Zhong
Nick Barnes
    ViT
ArXivPDFHTML

Papers citing "GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation"

34 / 34 papers shown
Title
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise
  Mitigation in Weakly-supervised Semantic Segmentation
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Yi Li
Yiqun Duan
Zhanghui Kuang
Yimin Chen
Wayne Zhang
Xiaomeng Li
59
72
0
14 Dec 2021
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
Yi Li
Zhanghui Kuang
Liyang Liu
Yimin Chen
Wayne Zhang
64
99
0
30 Aug 2021
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly
  Supervised Semantic Segmentation
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
Xiangrong Zhang
Zelin Peng
Peng Zhu
Tianyang Zhang
Chen Li
Huiyu Zhou
L. Jiao
CLL
61
47
0
03 Aug 2021
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised
  Semantic Segmentation
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
Lian Xu
Wanli Ouyang
Bennamoun
F. Boussaïd
Ferdous Sohel
Dan Xu
68
129
0
25 Jul 2021
PVT v2: Improved Baselines with Pyramid Vision Transformer
PVT v2: Improved Baselines with Pyramid Vision Transformer
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
AI4TS
91
1,661
0
25 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
249
2,819
0
15 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
ViT
104
1,201
0
09 Jun 2021
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly
  Supervised Semantic Segmentation
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
Seungho Lee
Minhyun Lee
Jongwuk Lee
Hyunjung Shim
69
218
0
19 May 2021
Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
Robin Strudel
Ricardo Garcia Pinel
Ivan Laptev
Cordelia Schmid
ViT
196
1,464
0
12 May 2021
Weakly-supervised Instance Segmentation via Class-agnostic Learning with
  Salient Images
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
Xinggang Wang
Jiapei Feng
Bin Hu
Qiankun Ding
Longjin Ran
Xiaoxin Chen
Wenyu Liu
ISeg
58
35
0
04 Apr 2021
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised
  Semantic Segmentation
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Youngmin Oh
Beomjun Kim
Bumsub Ham
NoLa
59
100
0
02 Apr 2021
CvT: Introducing Convolutions to Vision Transformers
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
ViT
143
1,907
0
29 Mar 2021
Non-Salient Region Object Mining for Weakly Supervised Semantic
  Segmentation
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Yazhou Yao
Tao Chen
Guosen Xie
Chuanyi Zhang
Fumin Shen
Qi Wu
Zhenmin Tang
Jian Zhang
128
191
0
26 Mar 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
125
1,729
0
24 Mar 2021
Anti-Adversarially Manipulated Attributions for Weakly and
  Semi-Supervised Semantic Segmentation
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee
Eunji Kim
Sungroh Yoon
70
228
0
16 Mar 2021
Discriminative Region Suppression for Weakly-Supervised Semantic
  Segmentation
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
Beomyoung Kim
Sangeun Han
Junmo Kim
63
127
0
12 Mar 2021
Causal Intervention for Weakly-Supervised Semantic Segmentation
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang
Hanwang Zhang
Jinhui Tang
Xiansheng Hua
Qianru Sun
CML
ISeg
90
450
0
26 Sep 2020
Single-Stage Semantic Segmentation from Image Labels
Single-Stage Semantic Segmentation from Image Labels
Nikita Araslanov
Stefan Roth
76
252
0
16 May 2020
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
606
4,777
0
13 May 2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel
  Relations
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn
Sunghyun Cho
Suha Kwak
ISeg
SSeg
142
543
0
10 Apr 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using
  Stochastic Inference
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
Jungbeom Lee
Eunji Kim
Sungmin Lee
Jangho Lee
Sungroh Yoon
61
421
0
27 Feb 2019
Self-Erasing Network for Integral Object Attention
Self-Erasing Network for Integral Object Attention
Qibin Hou
Peng-Tao Jiang
Yunchao Wei
Ming-Ming Cheng
83
278
0
23 Oct 2018
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common
  Object Features
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang
Shaodi You
Xi Li
Huimin Ma
64
303
0
12 Jun 2018
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
182
2,397
0
10 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
225
8,468
0
17 Jun 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
655
12,003
0
04 Dec 2016
Grad-CAM: Why did you say that?
Grad-CAM: Why did you say that?
Ramprasaath R. Selvaraju
Abhishek Das
Ramakrishna Vedantam
Michael Cogswell
Devi Parikh
Dhruv Batra
FAtt
67
471
0
22 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
253
2,848
0
20 Nov 2016
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 CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
239
18,224
0
02 Jun 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
247
9,305
0
14 Dec 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
93
985
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
183
1,044
0
05 Mar 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
173
4,892
0
22 Dec 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
126
3,453
0
20 Oct 2012
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