SOTAVerified

Segmentation

Papers

Showing 18761900 of 13072 papers

TitleStatusHype
Benchmarking Segmentation Models with Mask-Preserved Attribute EditingCode1
Anatomical Data Augmentation via Fluid-based Image RegistrationCode1
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRACode1
CellSeg1: Robust Cell Segmentation with One Training ImageCode1
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate SegmentationCode1
CEM500K – A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learningCode1
Event-Based Motion Segmentation by Motion CompensationCode1
GFNet: Geometric Flow Network for 3D Point Cloud Semantic SegmentationCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Evidential fully convolutional network for semantic segmentationCode1
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentationCode1
Global Aggregation then Local Distribution for Scene ParsingCode1
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuningCode1
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical SegmentationCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image SegmentationCode1
One-Shot Learning for Semantic SegmentationCode1
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationCode1
An Uncertainty-Driven GCN Refinement Strategy for Organ SegmentationCode1
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance SegmentationCode1
Uncertainty-based graph convolutional networks for organ segmentation refinementCode1
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truthCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure 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