Fine-grained visual recognition with salient feature detection

Understand

Computer vision based fine-grained recognition has received great attention in recent years.

• Existing works focus on discriminative part localization and feature learning.
• In this paper, to improve the performance of fine-grained recognition, we try to precisely locate as many salient parts of object as possible at first.
• Then, we figure out the classification probability that can be obtained by using separate parts for object classification.