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Segmentation

Papers

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Showing 551–600 of 13072 papers

TitleStatusHype
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Context-aware Feature Generation for Zero-shot Semantic SegmentationCode1
Condition-Invariant Semantic SegmentationCode1
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
CondNet: Conditional Classifier for Scene SegmentationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and CountingCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity ProjectionCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
Adaptive Context Selection for Polyp SegmentationCode1
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image SegmentationCode1
AGILE3D: Attention Guided Interactive Multi-object 3D SegmentationCode1
2018 Robotic Scene Segmentation ChallengeCode1
Comprehensive segmentation of deep grey nuclei from structural MRI dataCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
CompNet: Complementary Segmentation Network for Brain MRI ExtractionCode1
3D U-Net: Learning Dense Volumetric Segmentation from Sparse AnnotationCode1
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationCode1
Complete Instances Mining for Weakly Supervised Instance SegmentationCode1
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
CompFeat: Comprehensive Feature Aggregation for Video Instance SegmentationCode1
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing ImagesCode1
Complementary consistency semi-supervised learning for 3D left atrial image segmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
Complementary Network with Adaptive Receptive Fields for Melanoma 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 Boundary Loss for Semantic SegmentationCode1
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image SegmentationCode1
3D-UCaps: 3D Capsules Unet for Volumetric Image SegmentationCode1
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachCode1
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background IntegrationCode1
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
Color Invariant Skin SegmentationCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
Code-free development and deployment of deep segmentation models for digital pathologyCode1
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object SegmentationCode1
Collaborating Foundation Models for Domain Generalized Semantic SegmentationCode1
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified