The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei. The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. In Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling, editors, Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III. Volume 9907 of Lecture Notes in Computer Science, pages 301-320, Springer, 2016. [doi]

This author has not been identified. Look up 'Jonathan Krause' in GoogleThis author has not been identified. Look up 'Benjamin Sapp' in GoogleThis author has not been identified. Look up 'Andrew Howard' in GoogleThis author has not been identified. Look up 'Howard Zhou' in GoogleThis author has not been identified. Look up 'Alexander Toshev' in GoogleThis author has not been identified. Look up 'Tom Duerig' in GoogleThis author has not been identified. Look up 'James Philbin' in GoogleThis author has not been identified. Look up 'Li Fei-Fei' in Google

runs on WebDSL