Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification explores A novel approach to few-shot image classification by mixing and aligning text and image prototypes, outperforming existing methods on benchmarks.. Commercial viability score: 7/10 in Few-Shot Image Classification.
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