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Segmentation

Papers

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Showing 5501–5550 of 13072 papers

TitleStatusHype
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory—0
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation—0
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation—0
Identifying Alzheimer Disease Dementia Levels Using Machine Learning Methods—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
Hybrid-Fusion Transformer for Multisequence MRICode0
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts—0
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects—0
PAUMER: Patch Pausing Transformer for Semantic Segmentation—0
Towards Omni-supervised Referring Expression SegmentationCode0
Muscle volume quantification: guiding transformers with anatomical priors—0
Team I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023—0
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation—0
Raising the ClaSS of Streaming Time Series SegmentationCode0
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM—0
Thermal-Infrared Remote Target Detection System for Maritime Rescue based on Data Augmentation with 3D Synthetic Data—0
DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking—0
Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB ImagesCode0
Radiomics as a measure superior to the Dice similarity coefficient for tumor segmentation performance evaluation—0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes—0
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation—0
One-shot Localization and Segmentation of Medical Images with Foundation Models—0
Text Augmented Spatial-aware Zero-shot Referring Image Segmentation—0
Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning—0
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic SegmentationCode0
Task-driven Prompt Evolution for Foundation Models—0
AutoCT: Automated CT registration, segmentation, and quantification—0
Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models—0
Open-NeRF: Towards Open Vocabulary NeRF Decomposition—0
S^3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation—0
Trust, but Verify: Robust Image Segmentation using Deep Learning—0
Gramian Attention Heads are Strong yet Efficient Vision LearnersCode0
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation—0
CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting—0
Pixel-Level Clustering Network for Unsupervised Image Segmentation—0
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep LearningCode0
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images—0
Towards contrast-agnostic soft segmentation of the spinal cordCode0
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation—0
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation—0
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI SegmentationCode0
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation—0
ROSS: Radar Off-road Semantic Segmentation—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging DataCode0
SILC: Improving Vision Language Pretraining with Self-Distillation—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