Learning object categories from Google’s image search

Learning object categories from Google’s image search

Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can learn an object category from just its name, by utilizing the raw output of image search engines available on the Intern...

書誌詳細
主要な著者:	Fergus, R, Fei-Fei, L, Perona, P, Zisserman, A
フォーマット:	Conference item
言語:	English
出版事項:	IEEE 2005

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