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Video Salient Object Detection

Video salient object detection (VSOD) is significantly essential for understanding the underlying mechanism behind HVS during free-viewing in general and instrumental to a wide range of real-world applications, e.g., video segmentation, video captioning, video compression, autonomous driving, robotic interaction, weakly supervised attention. Besides its academic value and practical significance, VSOD presents great difficulties due to the challenges carried by video data (diverse motion patterns, occlusions, blur, large object deformations, etc.) and the inherent complexity of human visual attention behavior (i.e., selective attention allocation, attention shift) during dynamic scenes. Online benchmark: http://dpfan.net/davsod.

( Image credit: Shifting More Attention to Video Salient Object Detection, CVPR2019-Best Paper Finalist )

Papers

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Showing 26–48 of 48 papers

TitleStatusHype
Video Salient Object Detection via Contrastive Features and Attention Modules—0
Video Salient Object Detection via Fully Convolutional Networks—0
A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection—0
Weakly Supervised Video Salient Object Detection via Point Supervision—0
A Spatial-Temporal Dual-Mode Mixed Flow Network for Panoramic Video Salient Object Detection—0
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection—0
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation—0
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection—0
Guidance and Teaching Network for Video Salient Object Detection—0
Improving Unsupervised Video Object Segmentation via Fake Flow Generation—0
Minimum Barrier Salient Object Detection at 80 FPS—0
Panoramic Video Salient Object Detection with Ambisonic Audio Guidance—0
PSNet: Parallel Symmetric Network for Video Salient Object Detection—0
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection—0
Reframe Anything: LLM Agent for Open World Video Reframing—0
Saliency-Aware Geodesic Video Object Segmentation—0
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation—0
Salient Object Detection in Video using Deep Non-Local Neural Networks—0
Sequential Clique Optimization for Video Object Segmentation—0
SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation—0
TENet: Triple Excitation Network for Video Salient Object Detection—0
Time-Mapping Using Space-Time Saliency—0
Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems—0
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