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View Code? Open in Web Editor NEWA global adversarial example generation method based on class gradients in a single picture and, in a wider scope, a proportion of distributed data in the dataset. The designed global perturbation can affect all data in the dataset. The performance of the proposed method in the PascalVOC and MS-COCO-keypoints datasets is better than that of the existing methods.
License: Apache License 2.0