Learning deep visual object models from noisy web data: How to make it work - researchr publication authors

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Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo. Learning deep visual object models from noisy web data: How to make it work. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017. pages 5564-5571, IEEE, 2017. [doi]

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