SOTAVerified

Segmentation

Papers

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Showing 7951–8000 of 13072 papers

TitleStatusHype
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph—0
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning—0
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation—0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation—0
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis—0
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Improved Object-Based Style Transfer with Single Deep Network—0
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation—0
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)—0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy—0
Attention W-Net: Improved Skip Connections for better Representations—0
Multi-Task Deep Convolutional Neural Network for the Segmentation of Type B Aortic Dissection—0
a high efficiency fully convolutional networks for pixel wise surface defect detection—0
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma—0
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation—0
A Compact Linear Programming Relaxation for Binary Sub-modular MRF—0
Multi-task Fusion for Efficient Panoptic-Part Segmentation—0
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
1st Place Solution for MOSE Track in CVPR 2024 PVUW Workshop: Complex Video Object Segmentation—0
Improved lung segmentation based on U-Net architecture and morphological operations—0
Improved Inference via Deep Input Transfer—0
Correlation-aware active learning for surgery video segmentation—0
Improved Image Boundaries for Better Video Segmentation—0
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography—0
Correlation Adaptive Subspace Segmentation by Trace Lasso—0
Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation—0
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks—0
Improved-Flow Warp Module for Remote Sensing Semantic Segmentation—0
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net—0
CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation—0
Attention to Scale: Scale-aware Semantic Image Segmentation—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
A Hierarchical Multi-Task Approach to Gastrointestinal Image Analysis—0
Improved AI-based segmentation of apical and basal slices from clinical cine CMR—0
Coronary Plaque Analysis for CT Angiography Clinical Research—0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans—0
Importance of Self-Consistency in Active Learning for Semantic Segmentation—0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net—0
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning—0
Importance of Image Enhancement Techniques in Color Image Segmentation: A Comprehensive and Comparative Study—0
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans—0
Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules—0
AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance 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