SAGE: Saliency-Guided Mixup with Optimal Rearrangements

31 October 2022

Papers citing "SAGE: Saliency-Guided Mixup with Optimal Rearrangements"

8 / 8 papers shown

Title
Mixup Augmentation with Multiple Interpolations Lifeng Shen Jincheng Yu Hansi Yang James T. Kwok 23 0 0 03 Jun 2024
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip H. S. Torr Jindong Gu AAML 28 5 0 30 Nov 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 25 5 0 13 Aug 2023
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection Jianan Ye Yijie Hu Xi Yang Qiufeng Wang Chao Huang Kaizhu Huang 20 5 0 14 Jun 2023
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 197 176 0 05 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 969 0 13 Dec 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 231 677 0 19 Oct 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016