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cs.CV2023
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
Yangyang Shu, Anton van den Hengel, Lingqiao Liu
Self-supervised learning (SSL) strategies have demonstrated remarkable performance in various recognition tasks. However, both our preliminary investigation and recent studies sugg…
cs.CV2022★ 2 cited
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
Yangyang Shu, Baosheng Yu, Haiming Xu +1
The challenge of fine-grained visual recognition often lies in discovering the key discriminative regions. While such regions can be automatically identified from a large-scale lab…