SOTAVerified

Segmentation

Papers

Showing 601650 of 13072 papers

TitleStatusHype
Continual atlas-based segmentation of prostate MRICode1
Context-self contrastive pretraining for crop type semantic segmentationCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Continual Hippocampus Segmentation with TransformersCode1
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task IntegrationCode1
3D Tooth Mesh Segmentation with Simplified Mesh Cell RepresentationCode1
Context-aware Feature Generation for Zero-shot Semantic SegmentationCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
Context Label Learning: Improving Background Class Representations in Semantic SegmentationCode1
Constrained unsupervised anomaly segmentationCode1
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot SegmentationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
AISFormer: Amodal Instance Segmentation with TransformerCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Context Prior for Scene SegmentationCode1
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Actor and Action Video Segmentation from a SentenceCode1
2D Floor Plan Segmentation Based on Down-samplingCode1
Conditional Convolutions for Instance SegmentationCode1
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression SegmentationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Activity Grammars for Temporal Action SegmentationCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
Zero-Shot Semantic SegmentationCode1
Conditional Boundary Loss for Semantic SegmentationCode1
Condition-Invariant Semantic SegmentationCode1
Active Pointly-Supervised Instance SegmentationCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image 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
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Comprehensive segmentation of deep grey nuclei from structural MRI dataCode1
Complete Instances Mining for Weakly Supervised Instance SegmentationCode1
CompNet: Complementary Segmentation Network for Brain MRI ExtractionCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
CondNet: Conditional Classifier for Scene SegmentationCode1
Active learning for medical image segmentation with stochastic batchesCode1
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance SegmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ 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