Unsupervised Joint Object Discovery and Segmentation in Internet Images

CVPR, pp. 1939-1946, 2013.

Cited by: 354|Views54
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Abstract:

We present a new unsupervised algorithm to discover and segment out common objects from large and diverse image collections. In contrast to previous co-segmentation methods, our algorithm performs well even in the presence of significant amounts of noise images (images not containing a common object), as typical for datasets collected fro...More

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