RATM: Recurrent Attentive Tracking Model
RATM: Recurrent Attentive Tracking Model
We present an attention-based modular neural framework for computer vision. The framework uses a soft attention mechanism allowing models to be trained with gradient descent. It consists of three modules: a recurrent attention module controlling where to look in an image or video frame, a feature-extraction module providing a representation …