Dog Breed Classification Using Part Localization

Abstract

We propose a novel approach to fine-grained image classification in which instances from different classes share common parts but have wide variation in shape and appearance. We use dog breed identification as a test case to show that extracting corresponding parts improves classification performance. This domain is especially challenging since the… (More)
DOI: 10.1007/978-3-642-33718-5_13

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@inproceedings{Liu2012DogBC, title={Dog Breed Classification Using Part Localization}, author={Jiongxin Liu and Angjoo Kanazawa and David W. Jacobs and Peter N. Belhumeur}, booktitle={ECCV}, year={2012} }