Selective Pooling Vector for Fine-Grained Recognition

WACV, pp. 860-867, 2015.

Cited by: 27|Bibtex|Views44|DOI:https://doi.org/10.1109/WACV.2015.119
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

We propose a new framework for image recognition by selectively pooling local visual descriptors, and show its superior discriminative power on fine-grained image classification tasks. The representation is based on selecting the most confident local descriptors for nonlinear function learning using a linear approximation in an embedded h...More

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