What do neural networks learn in image classification? A frequency shortcut perspective
Author:
Affiliation:
1. University of Twente,The Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378114.pdf?arnumber=10378114
Reference36 articles.
1. Dissecting the High-Frequency Bias in Convolutional Neural Networks
2. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
3. Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
4. Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
5. AutoAugment: Learning Augmentation Strategies From Data
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