Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality

• Published in: 2015 IEEE Winter Conference on Applications of Computer Vision pp. 805 - 812
• Main Authors: Schoeler, Markus, Worgotter, Florentin, Kulvicius, Tomas, Papon, Jeremie
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2015
• Subjects: Clutter; Context; Fasteners; Google; Nails; Search engines; Training

Image based object classification requires clean training data sets. Gathering such sets is usually done manually by humans, which is time-consuming and laborious. On the other hand, directly using images from search engines creates very noisy data due to ambiguous noun-focused indexing. However, in...