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Weakly Supervised Semantic Segmentation (WSSS) is challenging, particularly when image-level labels are used to supervise pixel level prediction.
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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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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On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
Sebastian Bach, Alexander Binder, Grégoire Montavon, Frederick Klauschen, Klaus-Robert Müller, and Wojciech Samek · 2015
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Semantic image segmentation with deep convolutional nets and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2015
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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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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
George Papandreou, Liang-Chieh Chen, Kevin P Murphy, and Alan L Yuille · 2015
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From image-level to pixel-level labeling with convolutional networks
Pedro O Pinheiro and Ronan Collobert · 2015
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What’s the point: Semantic segmentation with point supervision
Amy Bearman, Olga Russakovsky, Vittorio Ferrari, and Li Fei-Fei · 2016
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Learning transferrable knowledge for semantic segmentation with deep convolutional neural network
Seunghoon Hong, Junhyuk Oh, Honglak Lee, and Bohyung Han · 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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Grad-cam: Why did you say that?
Ramprasaath R Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Batra · 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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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Combining bottom-up, top-down, and smoothness cues for weakly supervised image segmentation
Anirban Roy and Sinisa Todorovic · 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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Learning random-walk label propagation for weakly-supervised semantic segmentation
Paul Vernaza and Manmohan Chandraker · 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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Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation
Jiwoon Ahn and Suha Kwak · 2018
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Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks
Aditya Chattopadhay, Anirban Sarkar, Prantik Howlader, and Vineeth N Balasubramanian · 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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On regularized losses for weakly-supervised cnn segmentation
Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, and Yuri Boykov · 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
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Weakly supervised learning of instance segmentation with inter-pixel relations
Jiwoon Ahn, Sunghyun Cho, and Suha Kwak · 2019
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Mixup as locally linear out-of-manifold regularization
Hongyu Guo, Yongyi Mao, and Richong Zhang · 2019
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Integral object mining via online attention accumulation
Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, and Hong-Kai Xiong · 2019
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Ficklenet: Weakly and semi-supervised semantic image segmentation using stochastic inference
Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, and Sungroh Yoon · 2019
Cited alongside, same era.
Cutmix: Regularization strategy to train strong classifiers with localizable features
Discriminative region suppression for weakly-supervised semantic segmentation
Beomyoung Kim, Sangeun Han, and Junmo Kim · 2021
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Unlocking the potential of ordinary classifier: Class-specific adversarial erasing framework for weakly supervised semantic segmentation
Hyeokjun Kweon, Sung-Hoon Yoon, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon · 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, 2021
Jungbeom Lee, Jihun Yi, Chaehun Shin, and Sungroh Yoon · 2021
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Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo · 2019
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Joint learning of saliency detection and weakly supervised semantic segmentation
Yu Zeng, Yunzhi Zhuge, Huchuan Lu, and Lihe Zhang · 2019
Cited alongside, same era.
Single-stage semantic segmentation from image labels
Nikita Araslanov and Stefan Roth · 2020
Cited alongside, same era.
Mixup-cam: Weakly-supervised semantic segmentation via uncertainty regularization
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, and Ming-Hsuan Yang · 2020
Cited alongside, same era.
Weakly-supervised semantic segmentation via sub-category exploration
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, and Ming-Hsuan Yang · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Learning integral objects with intra-class discriminator for weakly-supervised semantic segmentation
Junsong Fan, Zhaoxiang Zhang, Chunfeng Song, and Tieniu Tan · 2020
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Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation
Seungho Lee, Minhyun Lee, Jongwuk Lee, and Hyunjung Shim · 2021
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Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, and Xiaomeng Li · 2021
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Pseudo-mask matters in weakly-supervised semantic segmentation
Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, and Wayne Zhang · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Transformer transforms salient object detection and camouflaged object detection, 2021
Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, and Nick Barnes · 2021
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Background-aware pooling and noise-aware loss for weakly-supervised semantic segmentation
Youngmin Oh, Beomjun Kim, and Bumsub Ham · 2021
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Vision transformers for dense prediction
René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun · 2021
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Segmenter: Transformer for semantic segmentation
Robin Strudel, Ricardo Garcia, Ivan Laptev, and Cordelia Schmid · 2021
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Ecs-net: Improving weakly supervised semantic segmentation by using connections between class activation maps
Kunyang Sun, Haoqing Shi, Zhengming Zhang, and Yongming Huang · 2021
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2021
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Pvtv2: Improved baselines with pyramid vision transformer, 2021
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao · 2021
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Weakly-supervised instance segmentation via class-agnostic learning with salient images
Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, and Wenyu Liu · 2021
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Shallow feature matters for weakly supervised object localization
Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S Kevin Zhou, and Shuguang Cui · 2021
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Cvt: Introducing convolutions to vision transformers
Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, and Lei Zhang · 2021
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Embedded discriminative attention mechanism for weakly supervised semantic segmentation
Tong Wu, Junshi Huang, Guangyu Gao, Xiaoming Wei, Xiaolin Wei, Xuan Luo, and Chi Harold Liu · 2021
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Leveraging auxiliary tasks with affinity learning for weakly supervised semantic segmentation
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Ferdous Sohel, and Dan Xu · 2021
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Non-salient region object mining for weakly supervised semantic segmentation
Yazhou Yao, Tao Chen, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, and Jian Zhang · 2021
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Complementary patch for weakly supervised semantic segmentation
Fei Zhang, Chaochen Gu, Chenyue Zhang, and Yuchao Dai · 2021
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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, and Licheng Jiao · 2021
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Aggregating nested transformers
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, and Tomas Pfister · 2021
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Weakly-supervised semantic segmentation with visual words learning and hybrid pooling
Lixiang Ru, Bo Du, Yibing Zhan, and Chen Wu · 2022
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Inferring the class conditional response map for weakly supervised semantic segmentation
Weixuan Sun, Jing Zhang, and Nick Barnes · 2022
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