Denoising Masked AutoEncoders Help Robust Classification

10 October 2022

Papers citing "Denoising Masked AutoEncoders Help Robust Classification"

7 / 7 papers shown

Title
RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Ryo Fujii Hideo Saito Ryo Hachiuma AI4TS 104 1 0 26 Nov 2024
Masked Image Modeling: A Survey Vlad Hondru Florinel-Alin Croitoru Shervin Minaee Radu Tudor Ionescu N. Sebe 64 6 0 13 Aug 2024
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture Donghee Kim Sungduk Cho Hyeonwoo Cho Chanmin Park Jinyoung Kim Won Hwa Kim 38 0 0 15 Jul 2024
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness Jieren Deng Hanbin Hong A. Palmer Xin Zhou Jinbo Bi Kaleel Mahmood Yuan Hong Derek Aguiar AAML 33 0 0 25 May 2024
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival Liangrui Pan Yijun Peng Yan Li Yiyi Liang Liwen Xu Qingchun Liang Shaoliang Peng 32 0 0 13 May 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 0 0 08 Dec 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021