Semantic Purification for Conditional Representation Learning
OD-CRL addresses feature extraction for customized tasks by combining Adaptive Orthogonal Basis Optimization (AOBO) and Null-Space Denoising Projection (NSDP). AOBO builds an optimized, orthogonal semantic basis from text using SVD and curvature analysis. NSDP then uses this basis to suppress interference from non-target criteria in image embeddings, resulting in superior performance across clustering, classification, and retrieval tasks.