The Pairs Network of Attention model for Fine-grained Classification

Author:

Wang Gaihua1ORCID,Han Jingwei2ORCID,Zhang Chuanlei2ORCID,Yao Jingxuan2ORCID,Zhu Bolun2ORCID

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

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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