SOTAVerified

Segmentation

Papers

Showing 651675 of 13072 papers

TitleStatusHype
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Constrained unsupervised anomaly segmentationCode1
Context-aware Feature Generation for Zero-shot Semantic SegmentationCode1
CondNet: Conditional Classifier for Scene SegmentationCode1
Condition-Invariant Semantic SegmentationCode1
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and CountingCode1
1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation TrackCode1
Active Boundary Loss for Semantic SegmentationCode1
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Conditional Boundary Loss for Semantic SegmentationCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
Conditional Convolutions for Instance SegmentationCode1
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
Conditional Diffusion Models for Weakly 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