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This paper addresses the problem of discovering the objects present in a collection of images without any supervision.
Edelsbrunner, H., Letscher, D., Zomorodian, A.: Topological persistence and simplification. Discrete and Computational Geometry (2002)
2002
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Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering object categories in image collections. In: Proceedings of the International Conference on Computer Vision (ICCV) (2005)
2005
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Zomorodian, A., Carlsson, G.: Computing persistent homology. Discrete and Computational Geometry (2005)
2005
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Grauman, K., Darrell, T.: Unsupervised learning of categories from sets of partially matching image features. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2006)
2006
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Russell, B., Freeman, W., Efros, A., Sivic, J., Zisserman, A.: Using multiple segmentations to discover objects and their extent in image collections. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2006)
2006
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Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
2007
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Edelsbrunner, H., Harer, J.: Computational Topology: An Introduction. AMS Press (2009)
2009
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Kim, G., Torralba, A.: Unsupervised detection of regions of interest using iterative link analysis. In: Proceedings of the Conference on Neural Information Processing Systems (NeurIPS) (2009)
2009
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Nedić, A., Ozdaglar, A.: Approximate primal solutions and rate analysis for dual subgradient methods. SIAM Journal on Optimization 19
2009
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Alexe, B., Deselaers, T., Ferrari, V.: Measuring the objectness of image windows. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 34
2012
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Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results. http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html
2012
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Faktor, A., Irani, M.: Clustering by composition–unsupervised discovery of image categories. In: Proceedings of the European Conference on Computer Vision (ECCV) (2012)
2012
Earlier work this paper cites.
Hariharan, B., Malik, J., Ramanan, D.: Discriminative decorrelation for clustering and classification. In: Proceedings of the European Conference on Computer Vision (ECCV) (2012)
2012
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Bach, F.: Learning with submodular functions: A convex optimization perspective. Foundations and Trends in Machine Learning 6
2013
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Chazal, F., Guibas, L.J., Oudot, S.Y., Skraba, P.: Persistence-based clustering in riemannian manifolds. Journal of the ACM 60
2013
Cited alongside, same era.
Manen, S., Guillaumin, M., Van Gool, L.: Prime Object Proposals with Randomized Prim’s Algorithm. In: Proceedings of the International Conference on Computer Vision (ICCV) (2013)
2013
Cited alongside, same era.
Uijlings, J.R.R., van de Sande, K.E.A., Gevers, T., Smeulders, A.W.M.: Selective search for object recognition. International Journal of Computer Vision 104
2013
Cited alongside, same era.
Babenko, A., Slesarev, A., Chigorin, A., Lempitsky, V.: Neural codes for image retrieval. In: Proceedings of the European Conference on Computer Vision (ECCV) (2014)
2014
Cited alongside, same era.
Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2014)
Zhang, D., Meng, D., Li, C., Jiang, L., Zhao, Q., Han, J.: A self-paced multiple-instance learning framework for co-saliency detection. In: Proceedings of the International Conference on Computer Vision (ICCV) (2015)
2015
Later among the works it cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
2016
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Li, Y., Liu, L., Shen, C., Hengel, A.: Image co-localization by mimicking a good detector’s confidence score distribution. In: Proceedings of the European Conference on Computer Vision (ECCV) (2016)
2016
Later among the works it cites.
Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A.: Learning deep features for discriminative localization. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
2016
Later among the works it cites.
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2014
Cited alongside, same era.
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft COCO: Common Objects in Context. In: Proceedings of the European Conference on Computer Vision (ECCV) (2014)
2014
Cited alongside, same era.
Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Proceedings of the European Conference on Computer Vision (ECCV) (2014)
2014
Cited alongside, same era.
Zitnick, C.L., Dollár, P.: Edge boxes: Locating object proposals from edges. In: Proceedings of the European Conference on Computer Vision (ECCV) (2014)
2014
Cited alongside, same era.
Babenko, A., Lempitsky, V.: Aggregating deep convolutional features for image retrieval. In: Proceedings of the International Conference on Computer Vision (ICCV) (2015)
2015
Cited alongside, same era.
Cho, M., Kwak, S., Schmid, C., Ponce, J.: Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
2015
Cited alongside, same era.
Girshick, R.: Fast R-CNN. In: Proceedings of the International Conference on Computer Vision (ICCV) (2015)
2015
Cited alongside, same era.
Oudot, S.: Persistence Theory: From Quiver Representations to Data Analysis. AMS Surveys and Monographs (2015)
2015
Cited alongside, same era.
Cinbis, R., Verbeek, J., Schmid, C.: Weakly supervised object localization with multi-fold multiple instance learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 39
2017
Later among the works it cites.
Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-cam: Visual explanations from deep networks via gradient-based localization. In: Proceedings of the International Conference on Computer Vision (ICCV) (2017)
2017
Later among the works it cites.
Wei, X.S., Luo, J.H., Wu, J., Zhou, Z.H.: Selective convolutional descriptor aggregation for fine-grained image retrieval. IEEE Transactions on Image Processing 26
2017
Later among the works it cites.
Hsu, K.J., Tsai, C.C., Lin, Y.Y., Qian, X., Chuang, Y.Y.: Unsupervised cnn-based co-saliency detection with graphical optimization. In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)
2018
Later among the works it cites.
Tang, P., Wang, X., Wang, A., Yan, Y., Liu, W., Huang, J., Yuille, A.: Weakly supervised region proposal network and object detection. In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)
2018
Later among the works it cites.
Hsu, K.J., Lin, Y.Y., Chuang, Y.Y.: Deepco 3 : Deep instance co-segmentation by co-peak search and co-saliency detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
Vo, H.V., Han, K., Cho, M., Pérez, P., Bach, F., LeCun, Y., Ponce, J.: Unsupervised image matching and object discovery as optimization. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
Wei, X.S., Zhang, C.L., Wu, J., Shen, C., Zhou, Z.H.: Unsupervised object discovery and co-localization by deep descriptor transforming. Pattern Recognition (PR) 88
2019
Later among the works it cites.
Tang, P., Wang, X., Bai, S., Shen, W., Bai, X., Liu, W., Yuille, A.: Pcl: Proposal cluster learning for weakly supervised object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42
2020
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