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...
| Main Authors: | , , , |
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
IEEE
2005
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