Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos

Automatic saliency prediction in 360° videos is critical for viewpoint guidance applications (e.g., Facebook 360 Guide). We propose a spatial-temporal network which is (1) unsupervisedly trained and (2) tailor-made for 360° viewing sphere... (read more)

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Methods used in the Paper


METHOD TYPE
Heatmap
Output Functions
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
LSTM
Recurrent Neural Networks