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Weakly supervised segmentation requires assigning a label to every pixel based on training instances with partial annotations such as image-level tags, object bounding boxes, labeled points and scribbles.
Transductive learning via spectral graph partitioning
Thorsten Joachims · 2003
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Learning with local and global consistency
Dengyong Zhou, Olivier Bousquet, Thomas N Lal, Jason Weston, and Bernhard Schölkopf · 2004
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Clustering on the unit hypersphere using von mises-fisher distributions
Arindam Banerjee, Inderjit S Dhillon, Joydeep Ghosh, and Suvrit Sra · 2005
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Neighbourhood components analysis
Jacob Goldberger, Geoffrey E Hinton, Sam T Roweis, and Ruslan R Salakhutdinov · 2005
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Semi-supervised learning in gigantic image collections
Rob Fergus, Yair Weiss, and Antonio Torralba · 2009
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Segmenting scenes by matching image composites
Bryan Russell, Alyosha Efros, Josef Sivic, Bill Freeman, and Andrew Zisserman · 2009
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Contour detection and hierarchical image segmentation
Pablo Arbelaez, Michael Maire, Charless Fowlkes, and Jitendra Malik · 2010
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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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Superparsing: scalable nonparametric image parsing with superpixels
Joseph Tighe and Svetlana Lazebnik · 2010
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Efficient inference in fully connected crfs with gaussian edge potentials
Philipp Krähenbühl and Vladlen Koltun · 2011
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Nonparametric scene parsing via label transfer
Ce Liu, Jenny Yuen, and Antonio Torralba · 2011
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Deep learning via semi-supervised embedding
Jason Weston, Frédéric Ratle, Hossein Mobahi, and Ronan Collobert · 2012
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Semi-supervised learning with deep generative models
Durk P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling · 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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Xsede: accelerating scientific discovery
John Towns, Timothy Cockerill, Maytal Dahan, Ian Foster, Kelly Gaither, Andrew Grimshaw, Victor Hazlewood, Scott Lathrop, Dave Lifka, Gregory D Peterson, et al · 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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Bridges: a uniquely flexible hpc resource for new communities and data analytics
Nicholas A Nystrom, Michael J Levine, Ralph Z Roskies, and J Ray Scott · 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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Constrained convolutional neural networks for weakly supervised segmentation
Deepak Pathak, Philipp Krahenbuhl, and Trevor Darrell · 2015
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Semi-supervised learning with ladder networks
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, and Tapani Raiko · 2015
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Holistically-nested edge detection
Saining Xie and Zhuowen Tu · 2015
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Learning to segment under various forms of weak supervision
Jia Xu, Alexander G Schwing, and Raquel Urtasun · 2015
Cross-view training for semi-supervised learning
Kevin Clark, Thang Luong, and Quoc V Le · 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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Tell me where to look: Guided attention inference network
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, and Yun Fu · 2018
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Virtual adversarial training: a regularization method for supervised and semi-supervised learning
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, and Shin Ishii · 2018
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Segsort: Segmentation by discriminative sorting of segments
Jyh-Jing Hwang, Stella X Yu, Jianbo Shi, Maxwell D Collins, Tien-Ju Yang, Xiao Zhang, and Liang-Chieh Chen · 2019
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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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
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
Cited alongside, same era.
Ficklenet: Weakly and semi-supervised semantic image segmentation using stochastic inference
Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, and Sungroh Yoon · 2019
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Deep metric transfer for label propagation with limited annotated data
Bin Liu, Zhirong Wu, Han Hu, and Stephen Lin · 2019
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Self-supervised difference detection for weakly-supervised semantic segmentation
Wataru Shimoda and Keiji Yanai · 2019
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Box-driven class-wise region masking and filling rate guided loss for weakly supervised semantic segmentation
Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang · 2019
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Boundary perception guidance: A scribble-supervised semantic segmentation approach
Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, and Yongdong Zhang · 2019
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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 · 2019
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Single-stage semantic segmentation from image labels
Nikita Araslanov and Stefan Roth · 2020
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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
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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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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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Saliency guided self-attention network for weakly and semi-supervised semantic segmentation
Qi Yao and Xiaojin Gong · 2020
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