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Segmentation

Papers

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Showing 11126–11150 of 13072 papers

TitleStatusHype
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation—0
Learning morphological operators for skin detection—0
A Joint Model for Graph-based Chinese Dependency Parsing—0
A Joint Model for Document Segmentation and Segment Labeling—0
Learning Motion Patterns in Videos—0
Learning Multi-Class Segmentations From Single-Class Datasets—0
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation—0
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning—0
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence—0
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting—0
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation—0
One-Shot Weakly Supervised Video Object Segmentation—0
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images—0
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes—0
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation—0
One Sketch for All: One-Shot Personalized Sketch Segmentation—0
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation—0
A Joint Framework for Ancient Chinese WS and POS Tagging Based on Adversarial Ensemble Learning—0
Learning Object Interactions and Descriptions for Semantic Image Segmentation—0
Learning Object Placement by Inpainting for Compositional Data Augmentation—0
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management—0
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation—0
Learning Ordinality in Semantic Segmentation—0
A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation—0
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation—0
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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