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Found 2 papers, 1 papers with code
Contextual Encoder-Decoder Network for Visual Saliency Prediction
To develop robust representations for this challenging task, high-level visual features at multiple spatial scales must be extracted and augmented with contextual information.
Deep driven fMRI decoding of visual categories
Deep neural networks have been developed drawing inspiration from the brain visual pathway, implementing an end-to-end approach: from image data to video object classes.
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