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Segmentation

Papers

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Showing 6901–6925 of 13072 papers

TitleStatusHype
A Comprehensive Review of Modern Object Segmentation Approaches—0
Leveraging multiple datasets for deep leaf counting—0
3D point cloud segmentation using GIS—0
Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish—0
Investigating Self-Supervised Methods for Label-Efficient Learning—0
Leveraging Pretrained Image Classifiers for Language-Based Segmentation—0
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task—0
Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation—0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey—0
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation—0
Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors—0
Investigating certain choices of CNN configurations for brain lesion segmentation—0
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation—0
Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms—0
Automated Human Claustrum Segmentation using Deep Learning Technologies—0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging—0
Invertible Residual Network with Regularization for Effective Medical Image Segmentation—0
Inverse Renormalization Group Transformation in Bayesian Image Segmentations—0
Leveraging Uncertainty Estimates for Predicting Segmentation Quality—0
Automated head and neck tumor segmentation from 3D PET/CT—0
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation—0
Inverse Attention Guided Deep Crowd Counting Network—0
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation—0
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy—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