Camera Bias in a Fine Grained Classification Task

2021 International Joint Conference on Neural Networks (IJCNN)(2021)

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Abstract
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. We show that models trained on a dataset with camera / label correlations do not g...
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Key words
Image segmentation,Image recognition,Correlation,Image color analysis,Cameras,Distortion,Pattern recognition
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