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Segmentation

Papers

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Showing 7401–7425 of 13072 papers

TitleStatusHype
Automatic Word Segmentation and Part-of-Speech Tagging of Ancient Chinese Based on BERT Model—0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
2D Amodal Instance Segmentation Guided by 3D Shape Prior—0
Words.hk: A Comprehensive Cantonese Dictionary Dataset with Definitions, Translations and Transliterated Examples—0
A Joint Framework for Ancient Chinese WS and POS Tagging Based on Adversarial Ensemble Learning—0
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Midas Loop: A Prioritized Human-in-the-Loop Annotation for Large Scale Multilayer Data—0
Segmentation of Signs for Research Purposes: Comparing Humans and Machines—0
The First International Ancient Chinese Word Segmentation and POS Tagging Bakeoff: Overview of the EvaHan 2022 Evaluation Campaign—0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning—0
AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography—0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining—0
Neural Volumetric Object Selection—0
TubeFormer-DeepLab: Video Mask Transformer—0
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation—0
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image SegmentationCode0
BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line SegmentationCode0
3D-model ShapeNet Core Classification using Meta-Semantic LearningCode0
Improving Road Segmentation in Challenging Domains Using Similar Place Priors—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
Semantic Segmentation for Thermal Images: A Comparative Survey—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