SOTAVerified

Segmentation

Papers

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Showing 7051–7075 of 13072 papers

TitleStatusHype
Interactive Segmentation on RGBD Images via Cue Selection—0
CTG-Net: An Efficient Cascaded Framework Driven by Terminal Guidance Mechanism for Dilated Pancreatic Duct Segmentation—0
Interactive Segmentation of Radiance Fields—0
Interactive segmentation of medical images through fully convolutional neural networks—0
CT evaluation of 2D and 3D holistic deep learning methods for the volumetric segmentation of airway lesions—0
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI—0
A Joint Framework for Ancient Chinese WS and POS Tagging Based on Adversarial Ensemble Learning—0
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans—0
Interactive Segmentation and Report Generation for CT Images—0
Interactive Segment Anything NeRF with Feature Imitation—0
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images—0
CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track—0
A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation—0
Low-cost LIDAR based Vehicle Pose Estimation and Tracking—0
A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System—0
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance—0
Interactive Object Segmentation with Dynamic Click Transform—0
CSSegNet: Fine-Grained Cardiac Structures Segmentation Using Dilated Pyramid Pooling in U-net—0
Interactive multiclass segmentation using superpixel classification—0
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation—0
Segmentation method of U-net sheet metal engineering drawing based on CBAM attention mechanism—0
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration—0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation—0
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning—0
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen—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