Learning Features by Watching Objects Move

CVPR, 2017.

Cited by: 276|Bibtex|Views126
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

This paper presents a novel yet intuitive approach to unsupervised feature learning. Inspired by the human visual system, we explore whether low-level motion-based grouping cues can be used to learn an effective visual representation. Specifically, we use unsupervised motion-based segmentation on videos to obtain segments, which we use as...More

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