Masked Autoencoders are Efficient Class Incremental Learners

24 August 2023

Papers citing "Masked Autoencoders are Efficient Class Incremental Learners"

8 / 8 papers shown

Title
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 40 0 0 04 Nov 2024
Masked Image Modeling: A Survey Vlad Hondru Florinel-Alin Croitoru Shervin Minaee Radu Tudor Ionescu N. Sebe 72 6 0 13 Aug 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning Lu Yu Hesong Li Ying Fu J. Weijer Changsheng Xu CLL 55 1 0 02 Aug 2024
Class-Incremental Exemplar Compression for Class-Incremental Learning Zilin Luo Yaoyao Liu Bernt Schiele Qianru Sun VLM CLL 91 44 0 24 Mar 2023
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning Xialei Liu Jiang-Tian Zhai Andrew D. Bagdanov Ke Li Mingg-Ming Cheng CLL 23 4 0 16 Dec 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners Feng Liang Yangguang Li Diana Marculescu SSL TPM ViT 51 22 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,443 0 11 Nov 2021
DualNet: Continual Learning, Fast and Slow Quang-Cuong Pham Chenghao Liu S. Hoi CLL 71 43 0 01 Oct 2021