SCPT encodes pairwise class relationships via signed random projection and applies SVD-based semantic denoising to improve CLIP prompt tuning for fine-grained image recognition.
Synthesizing knowledge-enhanced features for real-world zero-shot food detection.IEEE Transactions on Image Processing, 33:1285–1298, 2024
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Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition
SCPT encodes pairwise class relationships via signed random projection and applies SVD-based semantic denoising to improve CLIP prompt tuning for fine-grained image recognition.