SOTAVerified

Segmentation

Papers

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Showing 9201–9225 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
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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