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

no code implementations • 9 Nov 2017 • Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier

We question the dominant role of real-world training images in the field of material classification by investigating whether synthesized data can generalise more effectively than real-world data.

General Classification Material Classification