ucasligang/awesome-MIM

Reading list for research topics in Masked Image Modeling

333

111 commits

updated Dec 3, 2024

See the code

README

awesome-MIM

We have listed the most popular methods in the field of Masked Image Modeling (MIM). If there are any omissions, please feel free to submit a request for additions. (Note: The dates shown correspond to the first submission of the papers to arXiv, but the provided links may point to the latest versions.)

Additionally, we encourage you to cite our work, SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders.

Backbone models.

DateMethodConferenceTitleCode
2020-xx-xx(maybe 2019)iGPTICML 2020Generative Pretraining from PixelsiGPT
2020-10-22ViTICLR 2021 (Oral)An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleViT
2021-04-08SiTArxiv 2021SiT: Self-supervised vIsion TransformerNone
2021-06-10MSTNeurIPS 2021MST: Masked Self-Supervised Transformer for Visual RepresentationNone
2021-06-14BEiTICLR 2022 (Oral)BEiT: BERT Pre-Training of Image TransformersBEiT
2021-11-11MAEArxiv 2021Masked Autoencoders Are Scalable Vision LearnersMAE
2021-11-15iBoTICLR 2022iBOT: Image BERT Pre-Training with Online TokenizeriBoT
2021-11-18SimMIMArxiv 2021SimMIM: A Simple Framework for Masked Image ModelingSimMIM
2021-11-24PeCoArxiv 2021PeCo: Perceptual Codebook for BERT Pre-training of Vision TransformersNone
2021-11-30MC-SSL0.0Arxiv 2021MC-SSL0.0: Towards Multi-Concept Self-Supervised LearningNone
2021-12-16MaskFeatArxiv 2021Masked Feature Prediction for Self-Supervised Visual Pre-TrainingNone
2021-12-20SplitMaskArxiv 2021Are Large-scale Datasets Necessary for Self-Supervised Pre-training?None
2022-01-31ADIOSArxiv 2022Adversarial Masking for Self-Supervised LearningNone
2022-02-07CAEArxiv 2022Context Autoencoder for Self-Supervised Representation LearningCAE
2022-02-07CIMArxiv 2022Corrupted Image Modeling for Self-Supervised Visual Pre-TrainingNone
2022-03-10MVPArxiv 2022MVP: Multimodality-guided Visual Pre-trainingNone
2022-03-23AttMaskECCV 2022What to Hide from Your Students: Attention-Guided Masked Image ModelingAttMask
2022-03-29mc-BEiTArxiv 2022mc-BEiT: Multi-choice Discretization for Image BERT Pre-trainingNone
2022-04-18Ge2-AEArxiv 2022The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-TrainingNone
2022-05-08MCMAENeurIPS 2022MCMAE: Masked Convolution Meets Masked AutoencodersMCMAE
2022-05-20UM-MAEArxiv 2022Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with LocalityUM-MAE
2022-05-26GreenMIMArxiv 2022Green Hierarchical Vision Transformer for Masked Image ModelingGreenMIM
2022-05-26MixMIMArxiv 2022MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation LearningCode is Opening
2022-05-28SupMAEArxiv 2022SupMAE: Supervised Masked Autoencoders Are Efficient Vision LearnersSupMAE
2022-05-30HiViTArxiv 2022HiViT: Hierarchical Vision Transformer Meets Masked Image ModelingNone
2022-06-01LoMaRArxiv 2022Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionLoMaR
2022-06-22SemMAENeurIPS 2022SemMAE: Semantic-Guided Masking for Learning Masked AutoencodersSemMAE
2022-08-11MILANArxiv 2022MILAN: Masked Image Pretraining on Language Assisted RepresentationMILAN
2022-11-14EVAArxiv 2022EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleEVA
2022-11-28AMTAAAI 2023Good helper is around you: Attention-driven Masked Image ModelingAMT
2023-01-03TinyMIMCVPR 2023TinyMIM: An Empirical Study of Distilling MIM Pre-trained ModelsTinyMIM
2023-03-04PixMIMArxiv 2023PixMIM: Rethinking Pixel Reconstruction in Masked Image ModelingPixMIM
2023-03-09LocalMIMCVPR 2023Masked Image Modeling with Local Multi-Scale ReconstructionLocalMIM
2023-03-12AutoMAEArxiv 2023Improving Masked Autoencoders by Learning Where to MaskAutoMAE
2023-03-15DeepMIMArxiv 2023DeepMIM: Deep Supervision for Masked Image ModelingDeepMIM
2023-04-25Img2VecArxiv 2023Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncodersNone
2023-12-30DTMArxiv 2023Masked Image Modeling via Dynamic Token MorphingNone
2024-11-24PR-MIMArxiv 2024PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image ModelingNone

Others:

Object detection.

3D.

Image generation.

DateMethodConferenceTitleCode
2022-02-08MaskGITArxiv 2022MaskGIT: Masked Generative Image TransformerNone

Unsupervised Domain Adaptation.

DateMethodConferenceTitleCode
2023-06-18MICCVPR 2023MIC: Masked Image Consistency for Context-Enhanced Domain AdaptationNone

Video.

Multi-modal.

Medical.

DateMethodConferenceTitleCode
2022-03-10MedMAEArxiv 2022Self Pre-training with Masked Autoencoders for Medical Image AnalysisNone

Analysis.

DateMethodConferenceTitle
2022-08-08RelaxMIMArxiv 2022Understanding Masked Image Modeling via Learning Occlusion Invariant Feature

Survey.

ucasligang/awesome-MIM

Reading list for research topics in Masked Image Modeling

333

111 commits

updated Dec 3, 2024

See the code

README

awesome-MIM

We have listed the most popular methods in the field of Masked Image Modeling (MIM). If there are any omissions, please feel free to submit a request for additions. (Note: The dates shown correspond to the first submission of the papers to arXiv, but the provided links may point to the latest versions.)

Additionally, we encourage you to cite our work, SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders.

Backbone models.

DateMethodConferenceTitleCode
2020-xx-xx(maybe 2019)iGPTICML 2020Generative Pretraining from PixelsiGPT
2020-10-22ViTICLR 2021 (Oral)An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleViT
2021-04-08SiTArxiv 2021SiT: Self-supervised vIsion TransformerNone
2021-06-10MSTNeurIPS 2021MST: Masked Self-Supervised Transformer for Visual RepresentationNone
2021-06-14BEiTICLR 2022 (Oral)BEiT: BERT Pre-Training of Image TransformersBEiT
2021-11-11MAEArxiv 2021Masked Autoencoders Are Scalable Vision LearnersMAE
2021-11-15iBoTICLR 2022iBOT: Image BERT Pre-Training with Online TokenizeriBoT
2021-11-18SimMIMArxiv 2021SimMIM: A Simple Framework for Masked Image ModelingSimMIM
2021-11-24PeCoArxiv 2021PeCo: Perceptual Codebook for BERT Pre-training of Vision TransformersNone
2021-11-30MC-SSL0.0Arxiv 2021MC-SSL0.0: Towards Multi-Concept Self-Supervised LearningNone
2021-12-16MaskFeatArxiv 2021Masked Feature Prediction for Self-Supervised Visual Pre-TrainingNone
2021-12-20SplitMaskArxiv 2021Are Large-scale Datasets Necessary for Self-Supervised Pre-training?None
2022-01-31ADIOSArxiv 2022Adversarial Masking for Self-Supervised LearningNone
2022-02-07CAEArxiv 2022Context Autoencoder for Self-Supervised Representation LearningCAE
2022-02-07CIMArxiv 2022Corrupted Image Modeling for Self-Supervised Visual Pre-TrainingNone
2022-03-10MVPArxiv 2022MVP: Multimodality-guided Visual Pre-trainingNone
2022-03-23AttMaskECCV 2022What to Hide from Your Students: Attention-Guided Masked Image ModelingAttMask
2022-03-29mc-BEiTArxiv 2022mc-BEiT: Multi-choice Discretization for Image BERT Pre-trainingNone
2022-04-18Ge2-AEArxiv 2022The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-TrainingNone
2022-05-08MCMAENeurIPS 2022MCMAE: Masked Convolution Meets Masked AutoencodersMCMAE
2022-05-20UM-MAEArxiv 2022Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with LocalityUM-MAE
2022-05-26GreenMIMArxiv 2022Green Hierarchical Vision Transformer for Masked Image ModelingGreenMIM
2022-05-26MixMIMArxiv 2022MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation LearningCode is Opening
2022-05-28SupMAEArxiv 2022SupMAE: Supervised Masked Autoencoders Are Efficient Vision LearnersSupMAE
2022-05-30HiViTArxiv 2022HiViT: Hierarchical Vision Transformer Meets Masked Image ModelingNone
2022-06-01LoMaRArxiv 2022Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionLoMaR
2022-06-22SemMAENeurIPS 2022SemMAE: Semantic-Guided Masking for Learning Masked AutoencodersSemMAE
2022-08-11MILANArxiv 2022MILAN: Masked Image Pretraining on Language Assisted RepresentationMILAN
2022-11-14EVAArxiv 2022EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleEVA
2022-11-28AMTAAAI 2023Good helper is around you: Attention-driven Masked Image ModelingAMT
2023-01-03TinyMIMCVPR 2023TinyMIM: An Empirical Study of Distilling MIM Pre-trained ModelsTinyMIM
2023-03-04PixMIMArxiv 2023PixMIM: Rethinking Pixel Reconstruction in Masked Image ModelingPixMIM
2023-03-09LocalMIMCVPR 2023Masked Image Modeling with Local Multi-Scale ReconstructionLocalMIM
2023-03-12AutoMAEArxiv 2023Improving Masked Autoencoders by Learning Where to MaskAutoMAE
2023-03-15DeepMIMArxiv 2023DeepMIM: Deep Supervision for Masked Image ModelingDeepMIM
2023-04-25Img2VecArxiv 2023Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncodersNone
2023-12-30DTMArxiv 2023Masked Image Modeling via Dynamic Token MorphingNone
2024-11-24PR-MIMArxiv 2024PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image ModelingNone

Others:

Object detection.

3D.

Image generation.

DateMethodConferenceTitleCode
2022-02-08MaskGITArxiv 2022MaskGIT: Masked Generative Image TransformerNone

Unsupervised Domain Adaptation.

DateMethodConferenceTitleCode
2023-06-18MICCVPR 2023MIC: Masked Image Consistency for Context-Enhanced Domain AdaptationNone

Video.

Multi-modal.

Medical.

DateMethodConferenceTitleCode
2022-03-10MedMAEArxiv 2022Self Pre-training with Masked Autoencoders for Medical Image AnalysisNone

Analysis.

DateMethodConferenceTitle
2022-08-08RelaxMIMArxiv 2022Understanding Masked Image Modeling via Learning Occlusion Invariant Feature

Survey.