1. Spda-cnn: Unifying semantic part detection and abstraction for fine-grained recognition;Zhang,2016
2. X. Zhang, H. Xiong, W. Zhou, W. Lin, Q. Tian, Picking deep filter responses for fine-grained image recognition, in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 1134–1142.
3. Multi-attention multi-class constraint for fine-grained image recognition;Sun,2018
4. P. Sermanet, A. Frome, E. Real, Attention for fine-grained categorization, CoRR abs/1412.7054 (2014).
5. Learning multi-attention convolutional neural network for fine-grained image recognition;Zheng,2017