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Multi-Scale Learning for Low-Resolution Person Re-Identification

ICCV, no. 1 (2015): 3765-3773

Cited: 126|Views55
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Abstract

In real world person re-identification (re-id), images of people captured at very different resolutions from different locations need be matched. Existing re-id models typically normalise all person images to the same size. However, a low-resolution (LR) image contains much less information about a person, and direct image scaling and sim...More

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