SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8976–9000 of 13072 papers

TitleStatusHype
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation—0
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds—0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
Radiomic Feature Stability Analysis based on Probabilistic Segmentations—0
Radiomics as a measure superior to the Dice similarity coefficient for tumor segmentation performance evaluation—0
Radious: Unveiling the Enigma of Dental Radiology with BEIT Adaptor and Mask2Former in Semantic Segmentation—0
RadSAM: Segmenting 3D radiological images with a 2D promptable model—0
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability—0
RAFT: Robust Augmentation of FeaTures for Image Segmentation—0
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes—0
Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation—0
Rain rendering for evaluating and improving robustness to bad weather—0
Rainy screens: Collecting rainy datasets, indoors—0
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning—0
Random 2.5D U-net for Fully 3D Segmentation—0
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization—0
Random Forest with Learned Representations for Semantic Segmentation—0
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing—0
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
Ranking pre-trained segmentation models for zero-shot transferability—0
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving—0
RA V-Net: Deep learning network for automated liver segmentation—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