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 use...
Zhenyao Cui, Siyuan Kan, Siyang Li et al.· 1 citation
A neural-anchor-based retrieval framework that treats the high-repetition center as an anchor and approaches it from both sides: a denoiser pulls the noisy query toward the true anchor, and a small network predicts each candidate's pseudo anchor from its image and pulls the image toward it.
Zhenyao Cui, Siyuan Kan, Ding-Kun Liu et al.· 0 citations
The results indicate that: 1) linear probing is frequently insufficient; 2) specialist models trained from scratch remain competitive across many tasks; and 3) larger FMs do not necessarily yield better generalization performance under current data regimes and training practices.
Dingkun Liu, Yu-Heng Chen, Zhu Chen et al.· National Science Review· 12 citations· ⚡3
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