ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models

Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz. ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 9448-9458, 2019. [doi]

Abstract

Abstract is missing.