An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild

Abstract

Zero-shot learning (ZSL) methods have been studied in the unrealistic setting where test data are assumed to come from unseen classes only. In this paper, we advocate studying the problem of generalized zero-shot learning (GZSL) where the test data’s class memberships are unconstrained. We show empirically that naively using the classifiers constructed by… (More)
DOI: 10.1007/978-3-319-46475-6_4
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@inproceedings{Chao2016AnES, title={An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild}, author={Wei-Lun Chao and Soravit Changpinyo and Boqing Gong and Fei Sha}, booktitle={ECCV}, year={2016} }