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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
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions—0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!Code0
GASP: Gated Attention For Saliency PredictionCode1
Weakly Supervised Visual-Auditory Fixation Prediction with Multigranularity PerceptionCode1
From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection ApproachCode1
Temporal-Spatial Feature Pyramid for Video Saliency Detection—0
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