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Foreground Segmentation

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Showing 26–50 of 84 papers

TitleStatusHype
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks—0
Cable Slack Detection for Arresting Gear Application using Machine Vision—0
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects—0
AquaSAM: Underwater Image Foreground SegmentationCode0
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout—0
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning—0
Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer—0
Spacecraft depth completion based on the gray image and the sparse depth map—0
Structure Aware and Class Balanced 3D Object Detection on nuScenes Dataset—0
Cascaded Sparse Feature Propagation Network for Interactive SegmentationCode0
Optical flow-based branch segmentation for complex orchard environments—0
DeePaste -- Inpainting for Pasting—0
Saliency detection with moving camera via background model completion—0
GPU based GMM segmentation of kinect data—0
Background-Foreground Segmentation for Interior Sensing in Automotive Industry—0
Visual Boundary Knowledge Translation for Foreground SegmentationCode0
Deep3DPose: Realtime Reconstruction of Arbitrarily Posed Human Bodies from Single RGB Images—0
Performance Analysis of a Foreground Segmentation Neural Network Model—0
Foreground-guided Facial Inpainting with Fidelity Preservation—0
Semantic-guided Automatic Natural Image Matting with Trimap Generation Network and Light-weight Non-local Attention—0
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets—0
Rethinking Interactive Image Segmentation: Feature Space AnnotationCode0
R-MONet: Region-Based Unsupervised Scene Decomposition and Representation via Consistency of Object Representations—0
Using a Supervised Method without supervision for foreground segmentation—0
Monocular 3D Object Detection via Feature Domain Adaptation—0
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