Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders

16 July 2022

Papers citing "Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders"

8 / 8 papers shown

Title
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding Mingming Zhang Qingjie Liu Yunhong Wang 32 5 0 28 Sep 2023
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks Nicholas Soucy S. Y. Sekeh AAML 8 0 0 28 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 81 60 0 05 Sep 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
Three dimensional Deep Learning approach for remote sensing image classification A. Ben Hamida A. Benoît P. Lambert C. Ben Amar 39 567 0 15 Jun 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016