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Segmentation

Papers

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Showing 3701–3750 of 13072 papers

TitleStatusHype
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation—0
Automatic segmentation of trees in dynamic outdoor environments—0
Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion—0
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation—0
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model—0
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes—0
Ensemble Methods for Multi-Organ Segmentation in CT Series—0
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation—0
Ensemble of Anchor-Free Models for Robust Bangla Document Layout Segmentation—0
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images—0
Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software—0
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images—0
Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function—0
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes—0
Diffusion Models for Open-Vocabulary Segmentation—0
Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks—0
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication—0
A MRF Shape Prior for Facade Parsing With Occlusions—0
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review—0
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans—0
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US—0
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease—0
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI—0
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation—0
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation—0
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network—0
2D Amodal Instance Segmentation Guided by 3D Shape Prior—0
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment—0
Ensembled ResUnet for Anatomical Brain Barriers Segmentation—0
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation—0
Deeply-Supervised CNN for Prostate Segmentation—0
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
3D Shape Segmentation via Shape Fully Convolutional Networks—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Deeply Cascaded U-Net for Multi-Task Image Processing—0
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation—0
Direct and Real-Time Cardiovascular Risk Prediction—0
Benchmark for License Plate Character Segmentation—0
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation—0
Direct Estimation of Appearance Models for Segmentation—0
Enriching Visual Knowledge Bases via Object Discovery and Segmentation—0
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans—0
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images—0
Directionally Convolutional Networks for 3D Shape Segmentation—0
Automatic segmentation of the intracranialvolume in fetal MR images—0
Deep Learning with Mixed Supervision for Brain Tumor Segmentation—0
Direct Processing of Document Images in Compressed Domain—0
Active Learning for Chinese Word 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