SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners

28 May 2022

Papers citing "SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners"

5 / 5 papers shown

Title
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 84 0 0 09 Mar 2025
Masked Image Modeling: A Survey Vlad Hondru Florinel-Alin Croitoru Shervin Minaee Radu Tudor Ionescu N. Sebe 45 6 0 13 Aug 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 5,353 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 4,299 0 29 Apr 2021
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 243 1,817 0 18 Aug 2016