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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 1–10 of 36 papers

TitleStatusHype
Hierarchical Domain-Adapted Feature Learning for Video Saliency PredictionCode1
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment NetworkCode1
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
Unified Image and Video Saliency ModelingCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency PredictionCode1
From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection ApproachCode1
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
GASP: Gated Attention For Saliency PredictionCode1
Weakly Supervised Video Salient Object DetectionCode1
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