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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
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
Temporal-Spatial Feature Pyramid 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
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain—0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
DeepVS: A Deep Learning Based Video Saliency Prediction ApproachCode0
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!Code0
Revisiting Video Saliency: A Large-scale Benchmark and a New ModelCode0
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