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…