PC-Net: Unsupervised Point Correspondence Learning with Neural Networks

Mathematics

• Neural Networks 100%
• Learning 96%
• Correspondence 86%
• Point Sets 47%
• Feature Point 31%
• Shape Descriptor 31%
• Landmarks 25%
• Template 23%
• Object 19%
• Deformable Objects 17%
• Target 16%
• Motion 14%
• Encoder 12%
• Fish 12%
• Alignment 11%
• Decoding 10%
• Point Process 9%
• Experimental Results 9%
• Predict 8%
• Assignment 8%
• Set of points 8%
• Human 8%
• Similarity 8%
• Demonstrate 5%
• Generalization 4%

Engineering & Materials Science

• Neural networks 64%
• Point groups 42%
• Fish 29%
• Decoding 22%