SOTAVerified

Segmentation

Papers

Showing 901925 of 13072 papers

TitleStatusHype
Anabranch Network for Camouflaged Object SegmentationCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial AttentionCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention NetworksCode1
3D Tooth Mesh Segmentation with Simplified Mesh Cell RepresentationCode1
CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics DataCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
Automatic segmentation of lung findings in CT and application to Long COVIDCode1
Delving into High-Quality Synthetic Face Occlusion Segmentation DatasetsCode1
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data SetsCode1
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor SegmentationCode1
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object SegmentationCode1
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRICode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
Causal Unsupervised Semantic SegmentationCode1
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text DetectionCode1
EfficientPS: Efficient Panoptic SegmentationCode1
3D-UCaps: 3D Capsules Unet for Volumetric Image SegmentationCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue SegmentationCode1
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Benchmark Results

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