TriCoS: a tri-level class-discriminative co-segmentation method for image classification
The aim of this paper is to leverage foreground segmentation to improve classification performance on weakly annotated datasets – those with no additional annotation other than class labels. We introduce TriCoS, a new co-segmentation algorithm that looks at all training images jointly and automatica...
| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Conference item |
| Språk: | English |
| Publicerad: |
Springer
2012
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