SARE adaptively switches between fast retrieval and self-reflective reasoning for training-free fine-grained visual recognition, claiming state-of-the-art accuracy on 14 datasets with substantially lower computation.
System 2 Inference You are a fine-grained recognition expert
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SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition
SARE adaptively switches between fast retrieval and self-reflective reasoning for training-free fine-grained visual recognition, claiming state-of-the-art accuracy on 14 datasets with substantially lower computation.