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Nizar Massouh

1 accepted papers

2017

Learning deep visual object models from noisy web data: How to make it work

IROS 2017poster

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…

Cited by 24SourceScholar