Camera Bias in a Fine Grained Classification Task
2021 International Joint Conference on Neural Networks (IJCNN)(2021)
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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