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洞見 - EEG-based object recognition
Decoding Natural Images from Electroencephalography (EEG) Signals for Robust Object Recognition
A self-supervised framework that can effectively decode natural images from EEG signals, achieving state-of-the-art performance on large-scale zero-shot object recognition tasks.
Enhancing EEG-Based Object Recognition Through Refined Sampling and Multimodal Feature Integration
Improving the performance of EEG-based object recognition through a novel interdimensional EEG sampling method and the integration of multimodal visual-language features.
