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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
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions—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
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain—0
Encoding Based Saliency Detection for Videos and Images—0
Temporal-Spatial Feature Pyramid for Video Saliency Detection—0
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection—0
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection—0
Video Saliency Detection by 3D Convolutional Neural Networks—0
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