Swin MAE: Masked Autoencoders for Small Datasets

28 December 2022

Papers citing "Swin MAE: Masked Autoencoders for Small Datasets"

6 / 6 papers shown

Title
TULIP: Transformer for Upsampling of LiDAR Point Clouds Bin Yang Patrick Pfreundschuh Roland Siegwart Marco Hutter Peyman Moghadam Vaishakh Patil 3DPC 16 5 0 11 Dec 2023
Pre-Training with Diffusion models for Dental Radiography segmentation Jérémy Rousseau C. Alaka E. Covili H. Mayard L. Misrachi Willy Au DiffM MedIm AI4CE 12 4 0 26 Jul 2023
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training Zhihong Chen Yu Du Jinpeng Hu Yang Liu Guanbin Li Xiang Wan Tsung-Hui Chang 79 111 0 15 Sep 2022
Adversarial Masking for Self-Supervised Learning Yuge Shi N. Siddharth Philip H. S. Torr Adam R. Kosiorek SSL 46 82 0 31 Jan 2022
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
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 292 5,761 0 29 Apr 2021