Manifold Adversarial Learning for Cross-domain 3D Shape Representation

Mathematics

• Shape Representation 100%
• Manifold Learning 93%
• Point Cloud 62%
• Neural Network Model 22%
• Neural Networks 16%
• Learning 16%
• Geometric transformation 13%
• Generalization Error 12%
• Training 9%
• Vision 9%
• Generalization 8%
• Justification 8%
• Experimental Results 8%
• Well-defined 8%
• Target 7%
• Knowledge 6%
• Strategy 6%
• Design 5%
• Framework 5%
• Generalise 4%
• Model 2%

Engineering & Materials Science

• Deep neural networks 60%
• Deep learning 13%
• Data storage equipment 9%