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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 26–36 of 36 papers

TitleStatusHype
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
A Dilated Inception Network for Visual Saliency PredictionCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Contextual Encoder-Decoder Network for Visual Saliency PredictionCode0
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video DataCode0
Simple vs complex temporal recurrences for video saliency predictionCode0
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency DetectionCode0
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