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Transformers trained with self-supervised learning using self-distillation loss (DINO) have been shown to produce attention maps that highlight salient foreground objects.
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The Caltech-UCSD Birds-200-2011 Dataset
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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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Multi-class cosegmentation
Armand Joulin, Francis Bach, and Jean Ponce · 2012
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Yichen Wei, Fang Wen, Wangjiang Zhu, and Jian Sun · 2012
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Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Salient object detection: A discriminative regional feature integration approach
Huaizu Jiang, Jingdong Wang, Zejian Yuan, Yang Wu, Nanning Zheng, and Shipeng Li · 2013
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Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Hierarchical saliency detection
Qiong Yan, Li Xu, Jianping Shi, and Jiaya Jia · 2013
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Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang · 2013
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Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2015
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Nianyi Li, Bilin Sun, and Jingyi Yu · 2015
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Unsupervised image matching and object discovery as optimization
Huy V Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, and Jean Ponce · 2019
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Unsupervised object discovery and co-localization by deep descriptor transformation
Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, and Zhi-Hua Zhou · 2019
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Marginalized average attentional network for weakly-supervised learning
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Cutmix: Regularization strategy to train strong classifiers with localizable features
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Rethinking class activation mapping for weakly supervised object localization
Wonho Bae, Junhyug Noh, and Gunhee Kim · 2020
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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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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 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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Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 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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Show, match and segment: Joint weakly supervised learning of semantic matching and object co-segmentation
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang · 2020
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Evaluating weakly supervised object localization methods right
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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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Geometry constrained weakly supervised object localization
Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, and Jinming Duan · 2020
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Erasing integrated learning: A simple yet effective approach for weakly supervised object localization
Jinjie Mai, Meng Yang, and Wenfeng Luo · 2020
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Instance-aware, context-focused, and memory-efficient weakly supervised object detection
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G Schwing, and Jan Kautz · 2020
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Toward unsupervised, multi-object discovery in large-scale image collections
Huy V Vo, Patrick Pérez, and Jean Ponce · 2020
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Rethinking the route towards weakly supervised object localization
Chen-Lin Zhang, Yun-Hao Cao, and Jianxin Wu · 2020
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Object discovery from a single unlabeled image by mining frequent itemsets with multi-scale features
Runsheng Zhang, Yaping Huang, Mengyang Pu, Jian Zhang, Qingji Guan, Qi Zou, and Haibin Ling · 2020
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Inter-image communication for weakly supervised localization
Xiaolin Zhang, Yunchao Wei, and Yi Yang · 2020
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Beit: Bert pre-training of image transformers
Hangbo Bao, Li Dong, and Furu Wei · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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An empirical study of training self-supervised vision transformers
Xinlei Chen, Saining Xie, and Kaiming He · 2021
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Strengthen learning tolerance for weakly supervised object localization
Guangyu Guo, Junwei Han, Fang Wan, and Dingwen Zhang · 2021
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Mst: Masked self-supervised transformer for visual representation
Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, et al · 2021
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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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Learning co-segmentation by segment swapping for retrieval and discovery
Xi Shen, Alexei A Efros, Armand Joulin, and Mathieu Aubry · 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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Large-scale unsupervised object discovery
Huy V 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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Weakly supervised object localization and detection: a survey
Dingwen Zhang, Junwei Han, Gong Cheng, and Ming-Hsuan Yang · 2021
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