SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval
Accurate visual decoding can reveal how the brain represents visual information and recover perceived content from neural signals such as electroencephalography (EEG), with potential for neural communication. However, current EEG-to-image retrieval methods perform far below their within-subject counterparts for new users without labeled calibration, limiting real-world deployment. To understand this gap, we analyze EEG features across subjects and find that different subjects preserve similar relationships among concepts but express them along different coordinate directions. We therefore prop
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- FuzzySimilar title/name (fuzzy) · 59%Tongyi-MAI/Z-Image-Turbo →
“Fuzzy title match (0.73): “SCORE: Subject Coordinate Recovery for Label-Free Cross-Subj” ≈ “Tongyi-MAI/Z-Image-Turbo””
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Zhenyao Cui →
“SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval”
- LinkedLinked via arxiv author · 85%Siyuan Kan →
“SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval”
- LinkedLinked via arxiv author · 85%Siyang Li →
“SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval”
- LinkedLinked via arxiv author · 85%Ziwei Wang →
“SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval”
- LinkedLinked via arxiv author · 85%Dongrui Wu →
“SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval”