The Pairs Network of Attention model for Fine-grained Classification
Author:
Affiliation:
1. Tianjin University of Science & Technology, China and Wuhan Institute of Technology, China
2. Tianjin University of Science & Technology, China
Funder
National Nature Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3688574.3688580
Reference37 articles.
1. Wang, Y., Wang, Z.J.J.o.V.C., Representation, I.: A survey of recent work on fine-grained image classification techniques. 59, 210-214 (2019).
2. A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases
3. Zhao, J., Peng, Y., He, X.J.N.: Attribute hierarchy based multi-task learning for fine-grained image classification. (2019).Chelsea Finn. 2018. Learning to Learn with Gradients. PhD Thesis, EECS Department, University of Berkeley.
4. A weakly supervised spatial group attention network for fine-grained visual recognition
5. Part-Based R-CNNs for Fine-Grained Category Detection
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