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Segmentation

Papers

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Showing 11551–11600 of 13072 papers

TitleStatusHype
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation—0
Lung nodules segmentation from CT with DeepHealth toolkit—0
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark—0
Lung Segmentation in Chest X-rays with Res-CR-Net—0
Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning—0
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation—0
Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training—0
Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations—0
Adversarial Networks for the Detection of Aggressive Prostate Cancer—0
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue—0
Adversarial Mutual Leakage Network for Cell Image Segmentation—0
LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation—0
Adversarial Multi-Criteria Learning for Chinese Word Segmentation—0
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging—0
QANet -- Quality Assurance Network for Image Segmentation—0
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation—0
Adversarially robust segmentation models learn perceptually-aligned gradients—0
3D-BEVIS: Bird's-Eye-View Instance Segmentation—0
3D-Aware Instance Segmentation and Tracking in Egocentric Videos—0
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation—0
3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement—0
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation—0
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation—0
Adversarial Examples on Segmentation Models Can be Easy to Transfer—0
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans—0
Adversarial Examples for Semantic Image Segmentation—0
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images—0
MacFormer: Semantic Segmentation with Fine Object Boundaries—0
Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons—0
Machine-assisted annotation of forensic imagery—0
Machine-learned Regularization and Polygonization of Building Segmentation Masks—0
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization—0
Open-vocabulary Panoptic Segmentation with Embedding Modulation—0
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond—0
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications—0
Adversarial Domain Adaptation for Cell Segmentation—0
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation—0
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery—0
3D Audio-Visual Segmentation—0
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization—0
MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation—0
MAIN: Multi-Attention Instance Network for Video Segmentation—0
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models—0
MAIS: Memory-Attention for Interactive Segmentation—0
Make it more specific: A novel uncertainty based airway segmentation application on 3D U-Net and its variants—0
Semantically Stealthy Adversarial Attacks against Segmentation Models—0
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation—0
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes—0
Advancing Oyster Phenotype Segmentation with Multi-Network Ensemble and Multi-Scale mechanism—0
3D All The Way: Semantic Segmentation of Urban Scenes From Start to End in 3D—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