SOTAVerified

Segmentation

Papers

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Showing 6801–6850 of 13072 papers

TitleStatusHype
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images—0
Learning to Segment Skin Lesions from Noisy Annotations—0
Learning to Segment Under Various Forms of Weak Supervision—0
Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
ISEC: Iterative over-Segmentation via Edge Clustering—0
Cut out the annotator, keep the cutout: better segmentation with weak supervision—0
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network—0
Deep learning for image segmentation: veritable or overhyped?—0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy—0
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients—0
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss—0
Customizing Neural Machine Translation for Subtitling—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
Learning Wall Segmentation in 3D Vessel Trees using Sparse Annotations—0
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation—0
Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes—0
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts—0
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks—0
Customized SAM 2 for Referring Remote Sensing Image Segmentation—0
Iris R-CNN: Accurate Iris Segmentation in Non-cooperative Environment—0
Customizable Architecture Search for Semantic Segmentation—0
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging—0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation—0
A kinetic approach to consensus-based segmentation of biomedical images—0
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation—0
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data—0
Customer Segmentation of Wireless Trajectory Data—0
Learn the new, keep the old: Extending pretrained models with new anatomy and images—0
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes—0
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation—0
Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology—0
IoU is not submodular—0
CUS3D :CLIP-based Unsupervised 3D Segmentation via Object-level Denoise—0
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation—0
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net—0
Left/Right Hand Segmentation in Egocentric Videos—0
Curvilinear object segmentation in medical images based on ODoS filter and deep learning network—0
Automated ischemic stroke lesion segmentation from 3D MRI—0
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs—0
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning—0
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion—0
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
Detecting Curve Text with Local Segmentation Network and Curve Connection—0
Investigations of the Influences of a CNN's Receptive Field on Segmentation of Subnuclei of Bilateral Amygdalae—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