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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 1–48 of 48 papers

TitleStatusHype
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation—0
Learning Motion and Temporal Cues for Unsupervised Video Object SegmentationCode1
Transforming Static Images Using Generative Models for Video Salient Object Detection—0
Improving Unsupervised Video Object Segmentation via Fake Flow Generation—0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
Reframe Anything: LLM Agent for Open World Video Reframing—0
SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation—0
A Spatial-Temporal Dual-Mode Mixed Flow Network for Panoramic Video Salient Object Detection—0
UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection—0
Panoramic Video Salient Object Detection with Ambisonic Audio Guidance—0
PSNet: Parallel Symmetric Network for Video Salient Object Detection—0
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object DetectionCode1
Motion-aware Memory Network for Fast Video Salient Object DetectionCode0
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
Weakly Supervised Video Salient Object Detection via Point Supervision—0
A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection—0
Learning Video Salient Object Detection Progressively from Unlabeled VideosCode1
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object DetectionCode2
Depth-Cooperated Trimodal Network for Video Salient Object DetectionCode1
Video Salient Object Detection via Contrastive Features and Attention Modules—0
Full-Duplex Strategy for Video Object SegmentationCode1
Guidance and Teaching Network for Video Salient Object Detection—0
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection—0
Video Salient Object Detection via Adaptive Local-Global RefinementCode0
Weakly Supervised Video Salient Object DetectionCode1
Dynamic Context-Sensitive Filtering Network for Video Salient Object DetectionCode1
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object DetectionCode1
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation—0
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality PerceptionCode0
TENet: Triple Excitation Network for Video Salient Object Detection—0
Motion Guided Attention for Video Salient Object DetectionCode0
Semi-Supervised Video Salient Object Detection Using Pseudo-LabelsCode0
Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems—0
Shifting More Attention to Video Salient Object DetectionCode0
Salient Object Detection in Video using Deep Non-Local Neural Networks—0
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation—0
Sequential Clique Optimization for Video Object Segmentation—0
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection—0
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks—0
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection—0
Video Salient Object Detection Using Spatiotemporal Deep Features—0
Structure-measure: A New Way to Evaluate Foreground MapsCode1
Video Salient Object Detection via Fully Convolutional Networks—0
Real-Time Salient Object Detection With a Minimum Spanning TreeCode0
Minimum Barrier Salient Object Detection at 80 FPS—0
Saliency-Aware Geodesic Video Object Segmentation—0
Time-Mapping Using Space-Time Saliency—0
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