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Segmentation

Papers

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Showing 6626–6650 of 13072 papers

TitleStatusHype
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation—0
Weakly Supervised Image Segmentation Beyond Tight Bounding Box AnnotationsCode0
Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging DataCode0
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images—0
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations—0
The Projection-Enhancement Network (PEN)Code0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Boundary Aware U-Net for Glacier SegmentationCode0
Flow-guided Semi-supervised Video Object Segmentation—0
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical CuesCode0
Enhanced Sharp-GAN For Histopathology Image Synthesis—0
Gender-Segmented Labor Markets and Foreign Demand Shocks—0
Document Summarization with Text Segmentation—0
SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots—0
Spatially Covariant Lesion Segmentation—0
Point Cloud Data Simulation and Modelling with Aize Workspace—0
Curvilinear object segmentation in medical images based on ODoS filter and deep learning network—0
Measuring uncertainty in human visual segmentation—0
Training Semantic Segmentation on Heterogeneous Datasets—0
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation—0
Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction—0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations—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