Ya-Fang Shih

Deep Co-Occurrence Feature Learning for Visual Object Recognition

This paper addresses three issues in integrating part-based representations into convolutional neural networks (CNNs) for object recognition. First, most part-based models rely on a few pre-specified object parts. However, the optimal object parts for recognition often vary from category to category…