EEGazeNet uses EEG to refine visual-search attention prediction
The public EEGaze 140 set pairs EEG and eye tracking from 36 people across 140 realistic scenes.
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The public EEGaze 140 set pairs EEG and eye tracking from 36 people across 140 realistic scenes.
C3L anchors regularization to offline class concepts, and authors report gains on five benchmarks against over 20 baselines.
ConEx ties vision saliency maps to automatically discovered concepts using unsupervised concept activation vectors.
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