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Segmentation

Papers

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Showing 12551–12600 of 13072 papers

TitleStatusHype
CoralVOS: Dataset and Benchmark for Coral Video Segmentation—0
Coresets for k-Segmentation of Streaming Data—0
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation—0
Motion Segmentation Using Locally Affine Atom Voting—0
Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules—0
Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Coronary Plaque Analysis for CT Angiography Clinical Research—0
CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation—0
Brain MRI Segmentation using Rule-Based Hybrid Approach—0
Correlation Adaptive Subspace Segmentation by Trace Lasso—0
Correlation-aware active learning for surgery video segmentation—0
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization—0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Brain MRI detection by Sematic Segmentation models- Transfer Learning approach—0
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning—0
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph—0
Co-Seg: An Image Segmentation Framework Against Label Corruption—0
Co-segmentation for Space-Time Co-located Collections—0
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder—0
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet—0
Co-Segmentation of Textured 3D Shapes with Sparse Annotations—0
AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss—0
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning—0
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training—0
Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation—0
Co-Sparse Textural Similarity for Image Segmentation—0
BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation—0
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation—0
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages—0
Costal Cartilage Segmentation with Topology Guided Deformable Mamba: Method and Benchmark—0
Motion Segmentation via Global and Local Sparse Subspace Optimization—0
Cost-efficient segmentation of electron microscopy images using active learning—0
A Compositional Approach to Occlusion in Panoptic Segmentation—0
Motion Trajectory Segmentation via Minimum Cost Multicuts—0
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation—0
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation—0
Counterfactual Image Networks—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation—0
Covariance Self-Attention Dual Path UNet for Rectal Tumor Segmentation—0
CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
Motor, un outil de segmentation accessible en ligne (Motor, a segmentation tool accessible online)—0
MOTS: Multi-Object Tracking and Segmentation—0
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images—0
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images—0
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty—0
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss—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