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Segmentation

Papers

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Showing 9201–9250 of 13072 papers

TitleStatusHype
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training—0
RGB-D Individual Segmentation—0
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter—0
RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory—0
RGPNet: A Real-Time General Purpose Semantic Segmentation—0
RhoanaNet Pipeline: Dense Automatic Neural Annotation—0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation—0
Ricci Curvature Based Volumetric Segmentation of the Auditory Ossicles—0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images—0
Rigid Motion Segmentation using Randomized Voting—0
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions—0
RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety—0
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features—0
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation—0
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud—0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions—0
RLCorrector: Reinforced Proofreading for Cell-level Microscopy Image Segmentation—0
RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning—0
R-MONet: Region-Based Unsupervised Scene Decomposition and Representation via Consistency of Object Representations—0
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement—0
RoadObstacle21—0
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes—0
Road Segmentation for ADAS/AD Applications—0
Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks—0
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles—0
Road Segmentation Using CNN with GRU—0
Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints—0
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
Robust 3D U-Net Segmentation of Macular Holes—0
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks—0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets—0
Robust Action Segmentation from Timestamp Supervision—0
Robust Adversarial Perturbation on Deep Proposal-based Models—0
Robust and Annotation-Free Wound Segmentation on Noisy Real-World Pressure Ulcer Images: Towards Automated DESIGN-R Assessment—0
Robust and fully automated segmentation of mandible from CT scans—0
Robust Box Prompt based SAM for Medical Image Segmentation—0
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention—0
Robust cDNA microarray image segmentation and analysis technique based on Hough circle transform—0
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies—0
Robust deep learning-based semantic organ segmentation in hyperspectral images—0
Robust Histopathology Image Analysis: To Label or to Synthesize?—0
Robust Human Registration with Body Part Segmentation on Noisy Point Clouds—0
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging—0
Robustifying deep networks for image segmentation—0
Robust Image Segmentation Quality Assessment—0
Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequence—0
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input—0
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified