Reading list for research topics in Masked Image Modeling

Overview

awesome-MIM

Reading list for research topics in Masked Image Modeling(MIM).

We list the most popular methods for MIM, if I missed something, please submit a request. (Note: We show the date of the first version of Arxiv here. But the link of paper may be not the early version.)

Self-supervied Vision Transformers as backbone models.

Date Method Conference Title Code
2021-06-14 BeiT ICLR 2022(Oral) BEiT: BERT Pre-Training of Image Transformers BeiT
2021-11-11 MAE Arxiv 2021 Masked Autoencoders Are Scalable Vision Learners MAE
2021-11-15 iBoT Arxiv 2021 iBOT: Image BERT Pre-Training with Online Tokenizer iBoT
2021-11-18 SimMIM Arxiv 2021 SimMIM: A Simple Framework for Masked Image Modeling SimMIM
2021-12-16 MaskFeat Arxiv 2021 Masked Feature Prediction for Self-Supervised Visual Pre-Training None
2021-12-20 SplitMask Arxiv 2021 Are Large-scale Datasets Necessary for Self-Supervised Pre-training? None
2022-01-31 ADIOS Arxiv 2022 Adversarial Masking for Self-Supervised Learning None
2022-02-07 CAE Arxiv 2022 Context Autoencoder for Self-Supervised Representation Learning None
2022-02-07 CIM Arxiv 2022 Corrupted Image Modeling for Self-Supervised Visual Pre-Training None
Owner
ligang
I am a Ph.D student from the University of Chinese Academy of Science (UCAS), studying computer vision, especially self-supervised learning.
ligang
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