Search Results for author: Yen Chang

Found 1 papers, 0 papers with code

OOWL500: Overcoming Dataset Collection Bias in the Wild

no code implementations24 Aug 2021 Brandon Leung, Chih-Hui Ho, Amir Persekian, David Orozco, Yen Chang, Erik Sandstrom, Bo Liu, Nuno Vasconcelos

Second, it is used to show that the augmentation of in the wild datasets, such as ImageNet, with in the lab data, such as OOWL500, can significantly decrease these biases, leading to object recognizers of improved generalization.

Adversarial Attack Data Augmentation +2

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