Proceedings of the 20th ACM international conference on Multimedia
Segmentation propagation in imagenet
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Efficient segmentation of leaves in semi-controlled conditions
Machine Vision and Applications
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The objective of this paper is the unsupervised segmentation of image training sets into foreground and background in order to improve image classification performance. To this end we introduce a new scalable, alternation-based algorithm for co-segmentation, BiCoS, which is simpler than many of its predecessors, and yet has superior performance on standard benchmark image datasets.