SOTAVerified

Segmentation

Papers

Showing 41264150 of 13072 papers

TitleStatusHype
Language-Based Image Editing with Recurrent Attentive ModelsCode0
LadderNet: Multi-path networks based on U-Net for medical image segmentationCode0
LACFormer: Toward accurate and efficient polyp segmentationCode0
A Fully Convolutional Two-Stream Fusion Network for Interactive Image SegmentationCode0
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image SegmentationCode0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRICode0
LAMP: Large Deep Nets with Automated Model Parallelism for Image SegmentationCode0
Laplacian Pyramid Reconstruction and Refinement for Semantic SegmentationCode0
Content-based Propagation of User Markings for Interactive Segmentation of Patterned ImagesCode0
Construction of unbiased dental template and parametric dental model for precision digital dentistryCode0
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial ApproachCode0
A Systematic Study of Leveraging Subword Information for Learning Word RepresentationsCode0
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval ManuscriptsCode0
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic SegmentationCode0
3D Medical Image Segmentation based on multi-scale MPU-NetCode0
Kvasir-SEG: A Segmented Polyp DatasetCode0
Constrained domain adaptation for Image segmentationCode0
Constrained-CNN losses for weakly supervised segmentationCode0
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural NetworkCode0
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-LevelCode0
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time SeriesCode0
Label conditioned segmentationCode0
Laplacian Segmentation Networks Improve Epistemic Uncertainty QuantificationCode0
ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate ParticlesCode0
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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