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Recent advances in self-supervised visual representation learning have paved the way for unsupervised methods tackling tasks such as object discovery and instance segmentation.
A model of saliency-based visual attention for rapid scene analysis
Laurent Itti, Christof Koch, and Ernst Niebur · 1998
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The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2007
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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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Learning to predict where humans look
Tilke Judd, Krista A. Ehinger, Frédo Durand, and Antonio Torralba · 2009
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Unsupervised detection of regions of interest using iterative link analysis
Gunhee Kim and Antonio Torralba · 2009
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
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Geodesic saliency using background priors
Yichen Wei, Fang Wen, Wangjiang Zhu, and Jian Sun · 2012
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Salient region detection by UFO: uniqueness, focusness and objectness
Peng Jiang, Haibin Ling, Jingyi Yu, and Jingliang Peng · 2013
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Selective search for object recognition
Jasper R. R. Uijlings, Koen E. A. van de Sande, Theo Gevers, and Arnold W. M. Smeulders · 2013
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Hierarchical saliency detection
Qiong Yan, Li Xu, Jianping Shi, and Jiaya Jia · 2013
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Hierarchical saliency detection
Qiong Yan, Li Xu, Jianping Shi, and Jiaya Jia · 2013
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Saliency detection via graph-based manifold ranking
Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang · 2013
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Salient object detection: A survey
Ali Borji, Ming-Ming Cheng, Huaizu Jiang, and Jia Li · 2014
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Saliency optimization from robust background detection
Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun · 2014
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Saliency optimization from robust background detection
Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun · 2014
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Saliency optimization from robust background detection
Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun · 2014
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Edge boxes: Locating object proposals from edges
Lawrence Zitnick and Piotr Dollár · 2014
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A weighted sparse coding framework for saliency detection
Nianyi Li, Bilin Sun, , and Jingyi Yu · 2015
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A weighted sparse coding framework for saliency detection
Nianyi Li, Bilin Sun, and Jingyi Yu · 2015
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Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun · 2015
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The fast bilateral solver
Jonathan T. Barron and Ben Poole · 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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Cross-dimensional weighting for aggregated deep convolutional features
Yannis Kalantidis, Clayton Mellina, and Simon Osindero · 2016
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Learning representations for automatic colorization
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2016
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Unsupervised learning of visual representations by solving jigsaw puzzles
Mehdi Noroozi and Paolo Favaro · 2016
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Hierarchical image saliency detection on extended CSSD
Jianping Shi, Qiong Yan, Li Xu, and Jiaya Jia · 2016
Cited alongside, same era.
Learning to detect salient objects with image-level supervision
Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, and Xiang Ruan · 2017
Cited alongside, same era.
Supervision by fusion: Towards unsupervised learning of deep salient object detector
Dingwen Zhang, Junwei Han, and Yu Zhang · 2017
Cited alongside, same era.
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 · 2018
Cited alongside, same era.
Unsupervised representation learning by predicting image rotations
Spyros Gidaris, Praveer Singh, and Nikos Komodakis · 2018
Cited alongside, same era.
Deep unsupervised saliency detection: A multiple noisy labeling perspective
Unbiased teacher for semi-supervised object detection
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, , and Peter Vajda · 2021
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Finding an unsupervised image segmenter in each of your deep generative models
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi · 2021
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Localizing objects with self-supervised transformers and no labels
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, and Jean Ponce · 2021
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Unsupervised semantic segmentation by contrasting object mask proposals
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, and Luc Van Gool · 2021
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Large-scale unsupervised object discovery
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, and Jean Ponce · 2021
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Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, and Richard I. Hartley · 2018
Cited alongside, same era.
A simple pooling-based design for real-time salient object detection
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, and Jianmin Jiang · 2019
Cited alongside, same era.
Deepusps: Deep robust unsupervised saliency prediction via self-supervision
Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, and Thomas Brox · 2019
Cited alongside, same era.
Unsupervised image matching and object discovery as optimization
Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, and Jean Ponce · 2019
Cited alongside, same era.
Unsupervised object discovery and co-localization by deep descriptor transforming
Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, and Zhi-Hua Zhou · 2019
Cited alongside, same era.
Egnet: Edge guidance network for salient object detection
Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, and Ming-Ming Cheng · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
Large-scale unsupervised object discovery
Van Huy Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, and Jean Ponce · 2021
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Object segmentation without labels with large-scale generative models
Andrey Voynov, Stanislav Morozov, and Artem Babenko · 2021
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Dense contrastive learning for self-supervised visual pre-training
Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, and Lei Li · 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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Multiple instance active learning for object detection
Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, and Qixiang Ye · 2021
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Discovering object masks with transformers for unsupervised semantic segmentation
Wouter Van Gansbeke, Simon Vandenhende, and Luc Van Gool · 2022
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Unsupervised semantic segmentation by distilling feature correspondences
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, and William T. Freeman · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross B. Girshick · 2022
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Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi · 2022
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Finding an unsupervised image segmenter in each of your deep generative models
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi · 2022
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Active learning by feature mixing
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Gholamreza (Reza) Haffari, Anton van den Hengel, and Javen Qinfeng Shi · 2022
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Unsupervised multi-object segmentation using attention and soft-argmax
Bruno Sauvalle and Arnaud de La Fortelle · 2022
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Bridging the gap to real-world object-centric learning
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, and Francesco Locatello · 2022
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Unsupervised salient object detection with spectral cluster voting
Gyungin Shin, Samuel Albanie, and Weidi Xie · 2022
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Active learning strategies for weakly-supervised object detection
Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, and Jean Ponce · 2022
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Freesolo: Learning to segment objects without annotations
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, and Jose M. Alvarez · 2022
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Self-supervised transformers for unsupervised object discovery using normalized cut
Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, and Dominique Vaufreydaz · 2022
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Unsupervised semantic segmentation with self-supervised object-centric representations
Andrii Zadaianchuk, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello, and Thomas Brox · 2022
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Image BERT pre-training with online tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, and Tao Kong · 2022
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A simple and powerful global optimization for unsupervised video object segmentation
Georgy Ponimatkin, Nermin Samet, Yang Xiao, Yuming Du, Renaud Marlet, and Vincent Lepetit · 2023
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