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Segmentation

Papers

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Showing 851–900 of 13072 papers

TitleStatusHype
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
Condition-Invariant Semantic SegmentationCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Development of accurate human head models for personalized electromagnetic dosimetry using deep learningCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Active learning for medical image segmentation with stochastic batchesCode1
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
DifFSS: Diffusion Model for Few-Shot Semantic SegmentationCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
A Multi-Level Approach to Waste Object SegmentationCode1
Diffusion-based Data Augmentation for Nuclei Image SegmentationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal ReasoningCode1
Conditional Convolutions for Instance 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
Active Pointly-Supervised Instance SegmentationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
Directional Deep Embedding and Appearance Learning for Fast Video Object SegmentationCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
Zero-Shot Semantic SegmentationCode1
Activity Grammars for Temporal Action SegmentationCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression SegmentationCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Disentangling Human Error from Ground Truth in Segmentation of Medical ImagesCode1
Disentangling Human Error from the Ground Truth in Segmentation of Medical ImagesCode1
Continual atlas-based segmentation of prostate MRICode1
Cost Aggregation Is All You Need for Few-Shot SegmentationCode1
Actor and Action Video Segmentation from a SentenceCode1
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point CloudsCode1
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
CompNet: Complementary Segmentation Network for Brain MRI ExtractionCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
Domain Adaptive Video Segmentation via Temporal Pseudo SupervisionCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
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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