Learning deep visual object models from noisy web data: How to make it work
Deep networks thrive when trained on large scale data collections. This has given ImageNet a central role in the development of deep architectures for visual object classification. However, ImageNet was created during a specific period in time, and as such it is prone to aging, as well as dataset bi...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Published: |
IEEE
2017
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