SOTAVerified

Segmentation

Papers

Showing 18011825 of 13072 papers

TitleStatusHype
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology ImagesCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance ImagesCode1
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume SegmentationCode1
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networksCode1
Curriculum Knowledge Switching for Pancreas SegmentationCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
CT Liver Segmentation via PVT-based Encoding and Refined DecodingCode1
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic SegmentationCode1
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse SynthesisCode1
Advanced Deep Networks for 3D Mitochondria Instance SegmentationCode1
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
3D Tooth Mesh Segmentation with Simplified Mesh Cell RepresentationCode1
MFP: Making Full Use of Probability Maps for Interactive Image SegmentationCode1
MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound ImagesCode1
Microsoft COCO: Common Objects in ContextCode1
Mining Contextual Information Beyond Image for Semantic SegmentationCode1
Mining Cross-Image Semantics for Weakly Supervised Semantic SegmentationCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate SegmentationCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truthsCode1
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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