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Generating precise class-aware pseudo ground-truths, a.k.a, class activation maps (CAMs), is essential for weakly-supervised semantic segmentation.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Efficient inference in fully connected crfs with gaussian edge potentials
Philipp Krähenbühl and Vladlen Koltun · 2011
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Ubiquitousness of link-density and link-pattern communities in real-world networks
L. Šubelj and M. Bajec · 2012
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Invariant scattering convolution networks
Joan Bruna and Stéphane Mallat · 2013
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Rotation, scaling and deformation invariant scattering for texture discrimination
Laurent Sifre and Stéphane Mallat · 2013
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Locally scale-invariant convolutional neural networks
Angjoo Kanazawa, Abhishek Sharma, and David Jacobs · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Group equivariant convolutional networks
Taco Cohen and Max Welling · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Seed, expand and constrain: Three principles for weakly-supervised image segmentation
Alexander Kolesnikov and Christoph H Lampert · 2016
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Scribblesup: Scribble-supervised convolutional networks for semantic segmentation
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun · 2016
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Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, and Kostas Daniilidis · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization
Krishna Kumar Singh and Yong Jae Lee · 2017
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Object region mining with adversarial erasing: A simple classification to semantic segmentation approach
Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, and Shuicheng Yan · 2017
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Harmonic networks: Deep translation and rotation equivariance
Daniel E Worrall, Stephan J Garbin, Daniyar Turmukhambetov, and Gabriel J Brostow · 2017
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Weakly supervised semantic segmentation with boundary exploration
Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, and Yuntao Zhang · 2020
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Attention-based dropout layer for weakly supervised single object localization and semantic segmentation
Junsuk Choe, Seungho Lee, and Hyunjung Shim · 2020
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Employing multi-estimations for weakly-supervised semantic segmentation
Junsong Fan, Zhaoxiang Zhang, and Tieniu Tan · 2020
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Cian: Cross-image affinity net for weakly supervised semantic segmentation
Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, Chunfeng Song, and Jun Xiao · 2020
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Weakly supervised segmentation with maximum bipartite graph matching
Weide Liu, Chi Zhang, Guosheng Lin, Tzu-Yi Hung, and Chunyan Miao · 2020
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Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation
Jiwoon Ahn and Suha Kwak · 2018
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Self-erasing network for integral object attention
Qibin Hou, PengTao Jiang, Yunchao Wei, and Ming-Ming Cheng · 2018
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Weakly-supervised semantic segmentation network with deep seeded region growing
Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, and Jingdong Wang · 2018
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Normalized cut loss for weakly-supervised cnn segmentation
Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, and Christopher Schroers · 2018
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Weakly-supervised semantic segmentation by iteratively mining common object features
Xiang Wang, Shaodi You, Xi Li, and Huimin Ma · 2018
Cited alongside, same era.
Revisiting dilated convolution: A simple approach for weakly-and semi-supervised semantic segmentation
Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, and Thomas S Huang · 2018
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Weakly supervised learning of instance segmentation with inter-pixel relations
Jiwoon Ahn, Sunghyun Cho, and Suha Kwak · 2019
Cited alongside, same era.
Yun Liu, Yu-Huan Wu, Pei-Song Wen, Yu-Jun Shi, Yu Qiu, and Ming-Ming Cheng · 2020
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Mining cross-image semantics for weakly supervised semantic segmentation
Guolei Sun, Wenguan Wang, Jifeng Dai, and Luc Van Gool · 2020
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Self-supervised equivariant attention mechanism for weakly supervised semantic segmentation
Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, and Xilin Chen · 2020
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Reliability does matter: An end-to-end weakly supervised semantic segmentation approach
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, and Kaizhu Huang · 2020
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Causal intervention for weakly-supervised semantic segmentation
Dong Zhang, Hanwang Zhang, Jinhui Tang, Xiansheng Hua, and Qianru Sun · 2020
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Splitting vs. merging: Mining object regions with discrepancy and intersection loss for weakly supervised semantic segmentation
Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, and Alex Kot · 2020
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Layercam: Exploring hierarchical class activation maps
Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, and Yunchao Wei · 2021
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Reducing information bottleneck for weakly supervised semantic segmentation
Jungbeom Lee, Jooyoung Choi, Jisoo Mok, and Sungroh Yoon · 2021
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Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation
Jungbeom Lee, Eunji Kim, and Sungroh Yoon · 2021
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Bbam: Bounding box attribution map for weakly supervised semantic and instance segmentation
Jungbeom Lee, Jihun Yi, Chaehun Shin, and Sungroh Yoon · 2021
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Group-wise semantic mining for weakly supervised semantic segmentation
Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, and Zhaoxiang Zhang · 2021
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Context decoupling augmentation for weakly supervised semantic segmentation
Yukun Su, Ruizhou Sun, Guosheng Lin, and Qingyao Wu · 2021
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Non-salient region object mining for weakly supervised semantic segmentation
Yazhou Yao, Tao Chen, Guosen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, and Jian Zhang · 2021
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Weakly supervised semantic segmentation via progressive patch learning
Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, and Lin Ma · 2022
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