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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 1–25 of 36 papers

TitleStatusHype
From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection ApproachCode1
GASP: Gated Attention For Saliency PredictionCode1
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment NetworkCode1
Hierarchical Domain-Adapted Feature Learning for Video Saliency PredictionCode1
Unified Image and Video Saliency ModelingCode1
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency PredictionCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Weakly Supervised Visual-Auditory Fixation Prediction with Multigranularity PerceptionCode1
Weakly Supervised Video Salient Object DetectionCode1
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!Code0
A Dilated Inception Network for Visual Saliency PredictionCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video DataCode0
Contextual Encoder-Decoder Network for Visual Saliency PredictionCode0
DeepVS: A Deep Learning Based Video Saliency Prediction ApproachCode0
Revisiting Video Saliency: A Large-scale Benchmark and a New ModelCode0
Simple vs complex temporal recurrences for video saliency predictionCode0
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency DetectionCode0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions—0
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
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain—0
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