Search Results for author: Christopher Holder

Found 2 papers, 1 papers with code

Camera Bias in a Fine Grained Classification Task

no code implementations16 Jul 2020 Philip T. Jackson, Stephen Bonner, Ning Jia, Christopher Holder, Jon Stonehouse, Boguslaw Obara

We show that correlations between the camera used to acquire an image and the class label of that image can be exploited by convolutional neural networks (CNN), resulting in a model that "cheats" at an image classification task by recognizing which camera took the image and inferring the class label from the camera.

Classification General Classification +1

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