Dynamic Scale Inference by Entropy Minimization

Wang Dequan
Wang Dequan
Olshausen Bruno
Olshausen Bruno
Cited by: 0|Bibtex|Views70
Other Links: arxiv.org

Abstract:

Given the variety of the visual world there is not one true scale for recognition: objects may appear at drastically different sizes across the visual field. Rather than enumerate variations across filter channels or pyramid levels, dynamic models locally predict scale and adapt receptive fields accordingly. The degree of variation and ...More

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