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Segmentation

Papers

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Showing 4326–4350 of 13072 papers

TitleStatusHype
Dataset and Evaluation algorithm design for GOALS Challenge—0
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
A lightweight Convolutional Neural Network based on U shape structure and Attention Mechanism for Anterior Mediastinum Segmentation—0
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning—0
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation—0
A Contrario Selection of Optimal Partitions for Image Segmentation—0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from 3D magnetic resonance images—0
3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
Data-Driven Segmentation of Post-mortem Iris Images—0
Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation—0
Data-driven predictive control with improved performance using segmented trajectories—0
Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision—0
A Continuous Occlusion Model for Road Scene Understanding—0
Data-Driven Deep Supervision for Medical Image Segmentation—0
Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization—0
Automated Sperm Morphology Analysis Based on Instance-Aware Part Segmentation—0
Automated segmentation on the entire cardiac cycle using a deep learning work-flow—0
Data Clustering as an Emergent Consensus of Autonomous Agents—0
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE—0
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging—0
Fourier Boundary Features Network with Wider Catchers for Glass 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