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Video Saliency Detection

Video Saliency Detection is the process of detecting or predicting the most visually important or attention-grabbing regions in video sequence. This regions are where humans most likely focus their attention when watching the video.

Papers

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Showing 21–30 of 36 papers

TitleStatusHype
A Dilated Inception Network for Visual Saliency PredictionCode0
Contextual Encoder-Decoder Network for Visual Saliency PredictionCode0
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection—0
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection—0
Salient Object Detection in Video using Deep Non-Local Neural Networks—0
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection—0
Saliency Detection in 360° Videos—0
DeepVS: A Deep Learning Based Video Saliency Prediction ApproachCode0
Video Saliency Detection by 3D Convolutional Neural Networks—0
Review of Visual Saliency Detection with Comprehensive Information—0
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