awesome-mim
github.com/lupin1998/awesome-mim ↗[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
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299
Curated Resources
11
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IntroductionFundamental MIM MethodsMIM for CV Downstream TasksAudio and SpeechAI for ScienceTime Series and Neuroscience LearningReinforcement LearningTabular DataAnalysis and Understanding of Masked ModelingSurveyRelated Project
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me paper list of masked image modeling resources from awesome-mim"
Installation instructions →What's inside
Introduction
Related Project
- Awesome-Masked-AutoencodersPaper List of Masked Image Modeling
- awesome-MIMPaper List of Masked Image Modeling
- Awesome-MIMPaper List of Masked Image Modeling
- awesome-self-supervised-learningPaper List of Masked Image Modeling
- FairseqProject of Self-supervised Learning
- lightlyProject of Self-supervised Learning
Fundamental MIM Methods
MIM for CV Downstream Tasks
Time Series and Neuroscience Learning
Showing a sample of 299 resources. View the full list on GitHub →