F. XavierRoca

Attend and Rectify: a gated attention mechanism for fine-grained recovery

We propose a novel attention mechanism to enhance Convolutional Neural Networks for fine-grained recognition. It learns to attend to lower-level feature activations without requiring part annotations and uses these activations to update and rectify the output likelihood distribution. In contrast to…