Video Salient Object Detection
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Benchmarks
FBMS-59
DAVIS-2016
ViSal
DAVSOD-easy35
VOS-T
DAVSOD-Difficult20
DAVSOD-Normal25
MCL
SegTrack v2
UVSD
Most implemented
Depth-Cooperated Trimodal Network for Video Salient Object Detection
Motion Guided Attention for Video Salient Object Detection
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
Motion-aware Memory Network for Fast Video Salient Object Detection
Papers
RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection
We introduce RDVSv2, a large-scale benchmark for RGB-D video salient object detection (RGB-D VSOD) with dense frame-level annotations. Existing datasets in this emerging field are often limited in scale and annotation qu…
parameter-efficient fine-tuningVideo Salient Object DetectionM$^4$-SAM: Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient Object Detection
The Segment Anything Model 2 (SAM2) has emerged as a foundation model for universal segmentation. Owing to its generalizable visual representations, SAM2 has been successfully applied to various downstream tasks. However…
Video Salient Object DetectionSAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
Recently segment anything model (SAM) has attracted widespread concerns, and it is often treated as a vision foundation model for universal segmentation. Some researchers have attempted to directly apply the foundation m…
Video Salient Object DetectionGAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm
Recent salient object detection (SOD) models predominantly rely on heavyweight backbones, incurring substantial computational cost and hindering their practical application in various real-world settings, particularly on…
Video Salient Object DetectionObject LocalizationUnleashing the Power of Motion and Depth: A Selective Fusion Strategy for RGB-D Video Salient Object Detection
Applying salient object detection (SOD) to RGB-D videos is an emerging task called RGB-D VSOD and has recently gained increasing interest, due to considerable performance gains of incorporating motion and depth and that …
Video Salient Object DetectionTransFlow: Motion Knowledge Transfer from Video Diffusion Models to Video Salient Object Detection
Video salient object detection (SOD) relies on motion cues to distinguish salient objects from backgrounds, but training such models is limited by scarce video datasets compared to abundant image datasets. Existing appro…
Video Salient Object Detection