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Found 2 papers, 1 papers with code
Distribution-Aware Data Expansion with Diffusion Models
In this paper, we propose DistDiff, an effective data expansion framework based on the distribution-aware diffusion model.
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
First, we propose global-local cross-attention (GLCA) to enhance the interactions between global images and local high-response regions, which can help reinforce the spatial-wise discriminative clues for recognition.
Ranked #6 on
Fine-Grained Image Classification
on CUB-200-2011
(using extra training data)
Fine-Grained Image Classification
Fine-Grained Visual Categorization
