Learning to detect unseen object classes by between-class attribute transfer

• Published in: 2009 IEEE Conference on Computer Vision and Pattern Recognition pp. 951 - 958
• Main Authors: Lampert, Christoph H, Nickisch, Hannes, Harmeling, Stefan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2009
• Subjects: Computer vision; Cybernetics; Detectors; Face detection; Humans; Learning systems; Marine animals; Object detection; Testing; Training data

We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly been studied in computer vision research, but it is the rule rather than the exception, because the world contains tens of t...