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Segmentation

Papers

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Showing 1151–1200 of 13072 papers

TitleStatusHype
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
Cross-Modal Progressive Comprehension for Referring SegmentationCode1
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial LearningCode1
ASPS: Augmented Segment Anything Model for Polyp SegmentationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Cross-View Image Synthesis using Conditional GANsCode1
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical ImagingCode1
Curriculum Knowledge Switching for Pancreas SegmentationCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue SegmentationCode1
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
CrOC: Cross-View Online Clustering for Dense Visual Representation LearningCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
Cross-Domain Few-Shot Semantic SegmentationCode1
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-ResolutionCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationCode1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot SegmentationCode1
CPP-Net: Context-aware Polygon Proposal Network for Nucleus SegmentationCode1
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing ImagesCode1
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resectionsCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV InspectionsCode1
Adversarial Segmentation Loss for Sketch ColorizationCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Cost Aggregation Is All You Need for Few-Shot SegmentationCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Adversarial Policy Gradient for Deep Learning Image AugmentationCode1
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered ScenesCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Correlation-Aware Mutual Learning for Semi-supervised Medical Image SegmentationCode1
Co-segmentation Inspired Attention Module for Video-based Computer Vision TasksCode1
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive PropertiesCode1
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-IdentificationCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image SegmentationCode1
ContrastMask: Contrastive Learning to Segment Every ThingCode1
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and wordsCode1
Contrastive Grouping with Transformer for Referring Image SegmentationCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
Cooperative Self-Training for Multi-Target Adaptive Semantic SegmentationCode1
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer RadiotherapyCode1
Adversarial Learning for Semi-Supervised Semantic SegmentationCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly 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