Unsupervised Part Discovery via Feature Alignment

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We find a set of similar images that show instances of the same object category in the same pose, through an affine alignment of their corresponding feature maps

Abstract:

Understanding objects in terms of their individual parts is important, because it enables a precise understanding of the objects' geometrical structure, and enhances object recognition when the object is seen in a novel pose or under partial occlusion. However, the manual annotation of parts in large scale datasets is time consuming and...More

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