Semantic Purification for Conditional Representation Learning
Semantic Purification for Conditional Representation Learning (SP-CRL) first decomposes the original text basis and performs curvature-based adaptive truncation on the resulting basis vectors to construct a purer conditional subspace, then identifies an appropriate noise subspace and projects image embeddings onto its...