AINeutralarXiv – CS AI · 10h ago6/10
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Decoupling Endpoint and Semantic Transition Learning for Zero-Shot Composed Image Retrieval
Researchers propose DeCIR, a new approach to zero-shot composed image retrieval that separates endpoint matching from semantic transition learning to overcome limitations in projection-based methods. The technique uses decoupled text adapters and low-rank directional merging to improve performance on image retrieval tasks without increasing computational complexity at inference time.