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20232026
most citedLearning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples

35 citations · 43 across the 11 of their papers we have counts for

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cs.MM2025

Rethinking Vision Transformer for Large-Scale Fine-Grained Image Retrieval

Xin Jiang, Hao Tang, Yonghua Pan +1

Large-scale fine-grained image retrieval (FGIR) aims to retrieve images belonging to the same subcategory as a given query by capturing subtle differences in a large-scale setting.…