SOTAVerified

Segmentation

Papers

Showing 926950 of 13072 papers

TitleStatusHype
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression RecognitionCode1
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography ImagesCode1
Analyzing Overfitting under Class Imbalance in Neural Networks for Image SegmentationCode1
Context-self contrastive pretraining for crop type semantic segmentationCode1
Efficient Inference in Fully Connected CRFs with Gaussian Edge PotentialsCode1
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing ImagesCode1
Continuous Conditional Random Field Convolution for Point Cloud SegmentationCode1
Efficient Multiscale Object-based Superpixel FrameworkCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
Efficient Self-Ensemble for Semantic SegmentationCode1
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI -Should Different Clinical Objectives Mandate Different Loss Functions?Code1
CoReS: Orchestrating the Dance of Reasoning and SegmentationCode1
Anatomical Data Augmentation via Fluid-based Image RegistrationCode1
Anatomically-aware Uncertainty for Semi-supervised Image SegmentationCode1
3D U-Net: Learning Dense Volumetric Segmentation from Sparse AnnotationCode1
Efficient Urban-scale Point Clouds Segmentation with BEV ProjectionCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
2018 Robotic Scene Segmentation ChallengeCode1
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical SegmentationCode1
Eigencontours: Novel Contour Descriptors Based on Low-Rank ApproximationCode1
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR DataCode1
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and CountingCode1
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
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image 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