Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging
Attention Modality Reweighter
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging
Attention Modality Reweighter
Deep neural networks (DNNs) have been applied in many computer vision tasks and achieved state-of-the-art (SOTA) performance. However, misclassification will occur when DNNs predict adversarial examples which are created by adding human-imperceptible adversarial noise to natural examples. This limits the application of DNN in security-critical fields. In order to enhance …