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Segmentation

Papers

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Showing 9726–9750 of 13072 papers

TitleStatusHype
IDDA: a large-scale multi-domain dataset for autonomous driving—0
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy—0
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search—0
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans—0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts—0
Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting—0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation—0
Image Segmentation Using Hybrid Representations—0
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery—0
Analysis of Scoliosis From Spinal X-Ray Images—0
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges—0
Residual-driven Fuzzy C-Means Clustering for Image Segmentation—0
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
Bidirectional Graph Reasoning Network for Panoptic Segmentation—0
A2D2: Audi Autonomous Driving Dataset—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images—0
Unified Multi-Criteria Chinese Word Segmentation with BERT—0
Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution—0
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images—0
Y-net: Biomedical Image Segmentation and Clustering—0
Self-Supervised Tuning for Few-Shot 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