DeepBP: A bilinear model integrating multi-order statistics for fine-grained recognition

Summary: This paper proposes a self-boosting attention mechanism to address the problem of selecting key regions in fine-grained visual recognition under low data regimes. By generating attention maps and using them as pseudo-annotations to regularize the network, the performance of fine-grained visual recognition is improved.