AI RESEARCH
Subject-Aware Multi-Granularity Alignment for Zero-Shot EEG-to-Image Retrieval
arXiv CS.CV
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ArXi:2604.17782v1 Announce Type: new Zero-shot EEG-to-image retrieval aims to decode perceived visual content from electroencephalography (EEG) by aligning neural responses with pretrained visual representations, providing a promising route toward scalable visual neural decoding and practical brain-computer interfaces. However, robust EEG-to-image retrieval remains challenging, because prior methods usually rely on either a single fixed visual target or a subject-invariant target construction scheme.