4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 4 cited
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?
Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis +4
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 r…
cs.CV2017★ 3 cited
Material Classification using Neural Networks
Anca Sticlaru
The recognition and classification of the diversity of materials that exist in the environment around us are a key visual competence that computer vision systems focus on in recent…
cs.CV2017★ 1 cited
Evaluating Deep Convolutional Neural Networks for Material Classification
Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan +4
Determining the material category of a surface from an image is a demanding task in perception that is drawing increasing attention. Following the recent remarkable results achieve…