SupCon-ViT: Supervised contrastive learning for ultra-fine-grained visual categorization-Reference-Cited by-同舟云学术

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SupCon-ViT: Supervised contrastive learning for ultra-fine-grained visual categorization

Published:2023-11-28 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
language:
Short-container-title:

Author:

Lu Xiaowei¹,Yu Xiaohan²,Wang Kanqi¹,Wang Ying¹,Wang Peiyu¹,Liu Gang¹,Zhao Yang¹,Xiang Yunhui²,Gao Yongsheng²,Wu Xiaoyu²

Affiliation:

1. Xiamen University

2. Griffith University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10410651/10410903/10410959.pdf?arnumber=10410959

Reference38 articles.

1. Fine-Grained Image Analysis with Deep Learning: A Survey

2. A survey of recent work on fine-grained image classification techniques

3. Deep learning for fine-grained image analysis: A survey;Wei;arXiv preprint arXiv:1907.03069,2019

4. The caltech-ucsd birds-200-2011 dataset;Wah,2011

5. MaskCOV: A random mask covariance network for ultra-fine-grained visual categorization

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