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Segmentation

Papers

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Showing 4001–4050 of 13072 papers

TitleStatusHype
Deep Learning based Segmentation of Fish in Noisy Forward Looking MBES Images—0
Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation—0
DUNet: A deformable network for retinal vessel segmentation—0
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images—0
Automatic Refinement of Syntactic Categories in Chinese Word Structures—0
Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA using Coarse-to-Fine Framework—0
Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images—0
Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks—0
Deep Learning based Retinal OCT Segmentation—0
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation—0
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis—0
Automatic Real-time Background Cut for Portrait Videos—0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
Dynamically pruning segformer for efficient semantic segmentation—0
Dynamically Tie the Right Offer to the Right Customer in Telecommunications Industry—0
Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation—0
AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation—0
Bone marrow cells detection: A technique for the microscopic image analysis—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation—0
Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation—0
Dynamic Hierarchical Bayesian Network for Arabic Handwritten Word Recognition—0
Boosted GAN with Semantically Interpretable Information for Image Inpainting—0
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions—0
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention—0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
Dynamic Point Cloud Compression with Cross-Sectional Approach—0
Activating the Discriminability of Novel Classes for Few-shot Segmentation—0
Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding—0
Dynamic region proposal networks for semantic segmentation in automated glaucoma screening—0
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information—0
Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction—0
Deep learning based fence segmentation and removal from an image using a video sequence—0
Dynamic Snake Upsampling Operater and Boundary-Skeleton Weighted Loss for Tubular Structure Segmentation—0
Dynamic-structured Semantic Propagation Network—0
Dynamic Token-Pass Transformers for Semantic Segmentation—0
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation—0
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer—0
Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development—0
Dynamic Video Segmentation Network—0
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation—0
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes—0
Boosting Few-shot Semantic Segmentation with Transformers—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network—0
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation—0
E2E-Swin-Unet++: An Enhanced End-to-End Swin-Unet Architecture With Dual Decoders For PTMC Segmentation—0
E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans—0
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization—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