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This paper addresses unsupervised discovery and localization of dominant objects from a noisy image collection with multiple object classes.
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Cosegmentation of image pairs by histogram matching - incorporating a global constraint into MRFs
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Using multiple segmentations to discover objects and their extent in image collections
B. Russell, W. Freeman, A. Efros, J. Sivic, and A. Zisserman · 2006
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An exemplar model for learning object classes
O. Chum and A. Zisserman · 2007
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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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Co-recognition of image pairs by data-driven Monte Carlo image exploration
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Robust object detection with interleaved categorization and segmentation
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A. Torralba, R. Fergus, and Y. Weiss · 2008
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J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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D. S. Hochbaum and V. Singh · 2009
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Unsupervised detection of regions of interest using iterative link analysis
G. Kim and A. Torralba · 2009
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Object detection using a max-margin Hough transform
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Weakly supervised discriminative localization and classification: a joint learning process
M. H. Nguyen, L. Torresani, F. de la Torre, and C. Rother · 2009
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Efficient kernels for identifying unbounded-order spatial features
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Unsupervised detection and segmentation of identical objects
Multi-class cosegmentation
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Unsupervised co-segmentation through region matching
J. C. Rubio, J. Serrat, A. López, and N. Paragios · 2012
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Unsupervised discovery of mid-level discriminative patches
S. Singh, A. Gupta, and A. Efros · 2012
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In defence of negative mining for annotating weakly labelled data
P. Siva, C. Russell, and T. Xiang · 2012
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Learning graphs to match
M. Cho, K. Alahari, and J. Ponce · 2013
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Learning collections of part models for object recognition
I. Endres, K. J. Shih, J. Jiaa, and D. Hoiem · 2013
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Localizing objects while learning their appearance
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Object detection with discriminatively trained part-based models
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Discriminative clustering for image co-segmentation
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Cosegmentation revisited: Models and optimization
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A graph-matching kernel for object categorization
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Distributed cosegmentation via submodular optimization on anisotropic diffusion
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Prime object proposals with randomized Prim’s algorithm
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Bayesian joint topic modelling for weakly supervised object localisation
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Looking beyond the image: Unsupervised learning for object saliency and detection
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Learning discriminative part detectors for image classification and cosegmentation
J. Sun and J. Ponce · 2013
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Selective search for object recognition
J. R. R. Uijlings, K. E. A. van de Sande, T. Gevers, and A. W. M. Smeulders · 2013
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Multi-fold MIL training for weakly supervised object localization
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Context as supervisory signal: Discovering objects with predictable context
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Efficient image and video co-localization with frank-wolfe algorithm
A. Joulin, K. Tang, and L. Fei-Fei · 2014
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On learning to localize objects with minimal supervision
H. O. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui, and T. Darrell · 2014
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Co-localization in real-world images
K. Tang, A. Joulin, and L.-j. Li · 2014
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Weakly supervised object localization with latent category learning
C. Wang, W. Ren, K. Huang, and T. Tan · 2014
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