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Segmentation

Papers

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Showing 701–750 of 13072 papers

TitleStatusHype
A context based deep learning approach for unbalanced medical image segmentationCode1
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Continuous Conditional Random Field Convolution for Point Cloud SegmentationCode1
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
Continual atlas-based segmentation of prostate MRICode1
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Continual Hippocampus Segmentation with TransformersCode1
Contextual Attention Network: Transformer Meets U-NetCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
Continual Learning for Abdominal Multi-Organ and Tumor SegmentationCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Context Label Learning: Improving Background Class Representations in Semantic SegmentationCode1
Context-aware Feature Generation for Zero-shot Semantic SegmentationCode1
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Context Prior for Scene SegmentationCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Constrained unsupervised anomaly segmentationCode1
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and CountingCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
Context-self contrastive pretraining for crop type semantic segmentationCode1
Contrastive Boundary Learning for Point Cloud SegmentationCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
Conditional Boundary Loss for Semantic 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
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal ModelCode1
Comprehensive segmentation of deep grey nuclei from structural MRI dataCode1
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Conditional Convolutions for Instance SegmentationCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
CompFeat: Comprehensive Feature Aggregation for Video Instance SegmentationCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
Complementary consistency semi-supervised learning for 3D left atrial image segmentationCode1
Complete Instances Mining for Weakly Supervised Instance SegmentationCode1
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance SegmentationCode1
Combining Morphological and Histogram based Text Line Segmentation in the OCR ContextCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
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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