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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

Showing 1120 of 36 papers

TitleStatusHype
Weakly Supervised Video Salient Object DetectionCode1
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency PredictionCode1
Hierarchical Domain-Adapted Feature Learning for Video Saliency PredictionCode1
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video DataCode0
Unified Image and Video Saliency ModelingCode1
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment NetworkCode1
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency DetectionCode0
Simple vs complex temporal recurrences for video saliency predictionCode0
Learning to Explore Intrinsic Saliency for Stereoscopic Video0
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