Structured Visual Target Learning For Cross-Subject eeg-to-image retrieval
This work proposes a training-free representation refinement that aligns frozen embeddings without updating either encoder, which preserves the spatial information of the Perception Encoder, converts its patch grid into a compact set of learned visual views, and aggregates them for each image with a block-structured, c...