Semi-supervised learning for topographic map analysis over time: a study of bridge segmentation

Keyphrases

• U-Net 100%
• Map Analysis 100%
• Semi-supervised Learning 100%
• Topographic Maps 100%
• Historical Maps 100%
• Analysis over Time 100%
• Supervised Learning 66%
• Style Transfer 66%
• MobileNetV3 66%
• Map-based 33%
• Fully Convolutional Network 33%
• Deep Neural Network 33%
• Remaining Challenges 33%
• Comprehensive Comparison 33%
• DeepLabv3+ 33%
• Machine Learning Models 33%
• Analytic Tools 33%
• Two-stage Framework 33%
• Semi-supervised Method 33%
• CycleGAN 33%
• Semi-supervised Training 33%
• Valid Configuration 33%
• Topological Map 33%
• Map Annotation 33%
• Map Comparison 33%
• Geographical Research 33%

Earth and Planetary Sciences

• Supervised Learning 100%
• Machine Learning 25%
• Geographical Research 25%
• Artificial Intelligence 25%

Biochemistry, Genetics and Molecular Biology

• Artificial Intelligence 100%