Abstract: Fine-grained visual categorization (FGVC) in open-world settings frequently encounters heavy occlusion (HO) samples that compromise discriminative features. However, effectively addressing ...
Abstract: High-quality annotation of fine-grained visual categories demands great expert knowledge, which is taxing and time consuming. Alternatively, learning fine-grained visual representation from ...
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