Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
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Updated
Apr 29, 2019 - Python
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)
Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically
Crop and bound-box interesting parts of images using saliency maps generated with Attentive Convolutional LSTM Residual Network
RARE2012 is a feature-engineered bottom-up visual attention model
Visual Attention : what is salient in an image with DeepRare2019
RARE2007 is a feature-engineered bottom-up salienct model only using color information (no orientation)
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