Synthetic Data

Traffic Sign Recognition based on Synthesised Training Data

To deal with the richness in visual appearance variation found in real-world data, we propose to synthesise training data capturing these differences for traffic sign 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

Road Traffic Analysis

Road Traffic Analysis is an important process in road traffic management.

Material Recognition

Recognizing visual material attributes in images.