Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

ICCV 2015 Marcel SimonErik Rodner

Part models of object categories are essential for challenging recognition tasks, where differences in categories are subtle and only reflected in appearances of small parts of the object. We present an approach that is able to learn part models in a completely unsupervised manner, without part annotations and even without given bounding boxes during learning... (read more)

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