SOTAVerified

Segmentation

Papers

Showing 701725 of 13072 papers

TitleStatusHype
A context based deep learning approach for unbalanced medical image segmentationCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
Condition-Invariant Semantic SegmentationCode1
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
CondNet: Conditional Classifier for Scene SegmentationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Conditional Boundary Loss for Semantic SegmentationCode1
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Conditional Convolutions for Instance SegmentationCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Comprehensive segmentation of deep grey nuclei from structural MRI dataCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationCode1
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analysesCode1
Complete Instances Mining for Weakly Supervised Instance SegmentationCode1
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
CompNet: Complementary Segmentation Network for Brain MRI ExtractionCode1
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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