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The goal of this work is to efficiently identify visually similar patterns in images, e.g.
On spectral clustering: Analysis and an algorithm
Andrew Ng, Michael Jordan, and Yair Weiss · 2001
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Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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"grabcut" interactive foreground extraction using iterated graph cuts
Carsten Rother, Vladimir Kolmogorov, and Andrew Blake · 2004
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A spectral technique for correspondence problems using pairwise constraints
Marius Leordeanu and Martial Hebert · 2005
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Cosegmentation of image pairs by histogram matching-incorporating a global constraint into mrfs
Carsten Rother, Tom Minka, Andrew Blake, and Vladimir Kolmogorov · 2006
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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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Discriminative clustering for image co-segmentation
Armand Joulin, Francis Bach, and Jean Ponce · 2010
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Sift flow: Dense correspondence across scenes and its applications
Ce Liu, Jenny Yuen, and Antonio Torralba · 2010
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Object cosegmentation
Sara Vicente, Carsten Rother, and Vladimir Kolmogorov · 2011
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Multi-class cosegmentation
Armand Joulin, Francis Bach, and Jean Ponce · 2012
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Image retrieval for image-based localization revisited
Torsten Sattler, Tobias Weyand, Bastian Leibe, and Leif Kobbelt · 2012
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Learning and calibrating per-location classifiers for visual place recognition
Petr Gronat, Guillaume Obozinski, Josef Sivic, and Tomas Pajdla · 2013
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Unsupervised joint object discovery and segmentation in internet images
Michael Rubinstein, Armand Joulin, Johannes Kopf, and Ce Liu · 2013
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Visual place recognition with repetitive structures
Akihiko Torii, Josef Sivic, Tomas Pajdla, and Masatoshi Okutomi · 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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Dislocation: Scalable descriptor distinctiveness for location recognition
Relja Arandjelović and Andrew Zisserman · 2014
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Enriching visual knowledge bases via object discovery and segmentation
Xinlei Chen, Abhinav Shrivastava, and Abhinav Gupta · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 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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Co-localization in real-world images
Kevin Tang, Armand Joulin, Li-Jia Li, and Li Fei-Fei · 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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Optimizing the decomposition for multiple foreground cosegmentation
Haw-Shiuan Chang and Yu-Chiang Frank Wang · 2015
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Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
Minsu Cho, Suha Kwak, Cordelia Schmid, and Jean Ponce · 2015
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Multiple random walkers and their application to image cosegmentation
Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim · 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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Hierarchical image saliency detection on extended cssd
Jianping Shi, Qiong Yan, Li Xu, and Jiaya Jia · 2015
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24/7 place recognition by view synthesis
Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, and Tomas Pajdla · 2015
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Flowweb: Joint image set alignment by weaving consistent, pixel-wise correspondences
Tinghui Zhou, Yong Jae Lee, Stella X Yu, and Alexei A Efros · 2015
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Netvlad: Cnn architecture for weakly supervised place recognition
Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic · 2016
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The fast bilateral solver
Jonathan T Barron and Ben Poole · 2016
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Stochastic attraction-repulsion embedding for large scale image localization
Liu Liu, Hongdong Li, and Yuchao Dai · 2019
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Dgc-net: Dense geometric correspondence network
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, and Juho Kannala · 2019
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Deepusps: Deep robust unsupervised saliency prediction with self-supervision
Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi Phuong Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, and Thomas Brox · 2019
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Learning with average precision: Training image retrieval with a listwise loss
Jerome Revaud, Jon Almazán, Rafael S Rezende, and Cesar Roberto de Souza · 2019
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Discovering visual patterns in art collections with spatially-consistent feature learning
Xi Shen, Alexei A Efros, and Mathieu Aubry · 2019
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Image co-segmentation via saliency co-fusion
Koteswar Rao Jerripothula, Jianfei Cai, and Junsong Yuan · 2016
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Object co-segmentation via graph optimized-flexible manifold ranking
Rong Quan, Junwei Han, Dingwen Zhang, and Feiping Nie · 2016
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Learning dictionary of discriminative part detectors for image categorization and cosegmentation
Jian Sun and Jean Ponce · 2016
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Joint recovery of dense correspondence and cosegmentation in two images
Tatsunori Taniai, Sudipta N Sinha, and Yoichi Sato · 2016
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Huy V Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, and Jean Ponce · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Improved baselines with momentum contrastive learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He · 2020
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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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Self-supervising fine-grained region similarities for large-scale image localization
Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, and Hongsheng Li · 2020
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Efficient neighbourhood consensus networks via submanifold sparse convolutions
Ignacio Rocco, Relja Arandjelović, and Josef Sivic · 2020
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Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
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Ransac-flow: generic two-stage image alignment
Xi Shen, François Darmon, Alexei A Efros, and Mathieu Aubry · 2020
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Glu-net: Global-local universal network for dense flow and correspondences
Prune Truong, Martin Danelljan, and Radu Timofte · 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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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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Simple copy-paste is a strong data augmentation method for instance segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D Cubuk, Quoc V Le, and Barret Zoph · 2021
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Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, and Tobias Fischer · 2021
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Cotr: Correspondence transformer for matching across images
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, and Kwang Moo Yi · 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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Loftr: Detector-free local feature matching with transformers
Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou · 2021
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Learning accurate dense correspondences and when to trust them
Prune Truong, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2021
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Warp consistency for unsupervised learning of dense correspondences
Prune Truong, Martin Danelljan, Fisher Yu, and Luc Van Gool · 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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http://imagine.enpc.fr/~shenx/SegSwap/suppMat.pdf
Supplementary material of learning co-segmentation by segment swapping for retrieval and discovery · 2022
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