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Segmentation

Papers

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Showing 8351–8375 of 13072 papers

TitleStatusHype
Reservoir Computing Approach for Gray Images Segmentation—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?—0
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling TrainingCode0
Cardiac CT segmentation based on distance regularized level set—0
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI—0
Investigating Shift-Variance of Convolutional Neural Networks in Ultrasound Image SegmentationCode0
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation—0
Weighted Intersection over Union (wIoU) for Evaluating Image SegmentationCode0
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters—0
VTBIS: Vision Transformer for Biomedical Image Segmentation—0
Dual-stream CNN: Joint Edge and Object for Nucleus Segmentation—0
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access—0
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-NetCode0
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling—0
Instance Segmentation of Multiple Myeloma Cells via Hybrid Task Cascade—0
Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation—0
Double Similarity Distillation for Semantic Image Segmentation—0
Convolutional module for heart localization and segmentation in MRI—0
Exploring Set Similarity for Dense Self-supervised Representation Learning—0
Transductive image segmentation: Self-training and effect of uncertainty estimation—0
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation—0
A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise SupervisionCode0
Tracing Halpha Fibrils through Bayesian Deep Learning—0
Unpaired cross-modality educed distillation (CMEDL) for medical image 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