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We present a generic unsupervised method to increase the discriminative power of image vectors obtained from a broad family of deep neural networks for object retrieval. This goal is accomplished by simultaneously selecting and weighting informative deep convolutional features using the replicator equation, commonly used to capture the essence of selection in evolutionary game theory. The proposed...
A method for automatically extracting salient object from a single image is presented in this paper. The proposed method is cast in an energy minimization framework. Unlike that only appearance cues are leveraged in most previous methods, an auto-context cue is used as a complementary data term. Benefitting from a generic saliency model for bootstrapping, the segmentation of the salient object and...
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