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

CVPR 2018 Hsien-Tzu ChengChun-Hung ChaoJin-Dong DongHao-Kai WenTyng-Luh LiuMin Sun

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

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