EscherNet 101
–arXiv.org Artificial Intelligence
A deep learning model, EscherNet 101, is constructed to categorize images of 2D periodic patterns into their respective 17 wallpaper groups. Beyond evaluating EscherNet 101 performance by classification rates, at a micro-level we investigate the filters learned at different layers in the network, capable of capturing second-order invariants beyond edge and curvature.
arXiv.org Artificial Intelligence
Mar-7-2023
- Country:
- Europe (0.46)
- North America > United States (0.46)
- Genre:
- Research Report (0.82)
- Industry:
- Health & Medicine > Therapeutic Area > Neurology (0.67)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Neural Networks > Deep Learning (1.00)
- Performance Analysis > Accuracy (0.94)
- Statistical Learning (1.00)
- Vision (1.00)
- Machine Learning
- Information Technology > Artificial Intelligence