Material Recognition

Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-world Training Data?

We demonstrate that synthesized data achieve an improvement on mean average precision when used as training data and in conjunction with pre-trained CNN architectures

Evaluating Deep Convolutional Neural Networks for Material Classification

We conduct a rigorous evaluation of how state-of-the art CNN architectures compare on a common ground over widely used material databases.