Selective Pooling Vector for Fine-Grained Recognition
WACV, pp. 860-867, 2015.
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
Full Text (Upload PDF)
PPT (Upload PPT)