Papers Video Salient Object Detection
“Video Salient Object Detection” 태그가 달린 논문 54편 · 필터 해제
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 DetectionSaliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
Recent mainstream unsupervised video object segmentation (UVOS) motion-appearance approaches use either the bi-encoder structure to separately encode motion and appearance features, or the uni-encoder structure for joint…
Optical Flow EstimationSalient Object DetectionSemantic SegmentationUnsupervised Video Object Segmentation+3Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
In this paper, we address the challenges in unsupervised video object segmentation (UVOS) by proposing an efficient algorithm, termed MTNet, which concurrently exploits motion and temporal cues. Unlike previous methods t…
Objectobject-detectionObject DetectionSalient Object Detection+6Transforming Static Images Using Generative Models for Video Salient Object Detection
In many video processing tasks, leveraging large-scale image datasets is a common strategy, as image data is more abundant and facilitates comprehensive knowledge transfer. A typical approach for simulating video from st…
object-detectionObject DetectionSalient Object DetectionTransfer Learning+1Improving Unsupervised Video Object Segmentation via Fake Flow Generation
Unsupervised video object segmentation (VOS), also known as video salient object detection, aims to detect the most prominent object in a video at the pixel level. Recently, two-stream approaches that leverage both RGB i…
Objectobject-detectionObject DetectionOptical Flow Estimation+6ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
With the rapid development of depth sensor, more and more RGB-D videos could be obtained. Identifying the foreground in RGB-D videos is a fundamental and important task. However, the existing salient object detection (SO…
object-detectionObject DetectionSaliency DetectionSalient Object Detection+5Reframe Anything: LLM Agent for Open World Video Reframing
The proliferation of mobile devices and social media has revolutionized content dissemination, with short-form video becoming increasingly prevalent. This shift has introduced the challenge of video reframing to fit vari…
object-detectionObject DetectionSalient Object DetectionVideo Editing+1SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation
Unsupervised video object segmentation (UVOS) aims at detecting the primary objects in a given video sequence without any human interposing. Most existing methods rely on two-stream architectures that separately encode t…
Objectobject-detectionObject DetectionOptical Flow Estimation+6A Spatial-Temporal Dual-Mode Mixed Flow Network for Panoramic Video Salient Object Detection
Salient object detection (SOD) in panoramic video is still in the initial exploration stage. The indirect application of 2D video SOD method to the detection of salient objects in panoramic video has many unmet challenge…
Objectobject-detectionObject DetectionOptical Flow Estimation+2UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection
Video saliency prediction and detection are thriving research domains that enable computers to simulate the distribution of visual attention akin to how humans perceiving dynamic scenes. While many approaches have crafte…
Decoderobject-detectionObject DetectionPrediction+4Panoramic Video Salient Object Detection with Ambisonic Audio Guidance
Video salient object detection (VSOD), as a fundamental computer vision problem, has been extensively discussed in the last decade. However, all existing works focus on addressing the VSOD problem in 2D scenarios. With t…
Objectobject-detectionObject DetectionSalient Object Detection+1PSNet: Parallel Symmetric Network for Video Salient Object Detection
For the video salient object detection (VSOD) task, how to excavate the information from the appearance modality and the motion modality has always been a topic of great concern. The two-stream structure, including an RG…
Objectobject-detectionObject DetectionOptical Flow Estimation+3Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
Recently CNN-based RGB-D salient object detection (SOD) has obtained significant improvement on detection accuracy. However, existing models often fail to perform well in terms of efficiency and accuracy simultaneously. …
CPUobject-detectionObject DetectionRGB-D Salient Object Detection+2Motion-aware Memory Network for Fast Video Salient Object Detection
Previous methods based on 3DCNN, convLSTM, or optical flow have achieved great success in video salient object detection (VSOD). However, they still suffer from high computational costs or poor quality of the generated s…
motion predictionObjectobject-detectionObject Detection+3Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
Optical flow is an easily conceived and precious cue for advancing unsupervised video object segmentation (UVOS). Most of the previous methods directly extract and fuse the motion and appearance features for segmenting t…
ObjectOptical Flow EstimationSemantic SegmentationUnsupervised Video Object Segmentation+3