SOTAVerified

Segmentation

Papers

Showing 876900 of 13072 papers

TitleStatusHype
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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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