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Awesome-MIM
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
https://github.com/Lupin1998/Awesome-MIM
Last synced: 5 days ago
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Fundamental MIM Methods
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MIM with Constrastive Learning
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MIM for Transformers
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MIM for Transformers and CNNs
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MIM with Advanced Masking
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MIM for Multi-Modality
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MIM for Vision Generalist Model
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Image Generation
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Analysis and Understanding of Masked Modeling
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MIM for CV Downstream Tasks
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Video Rrepresentation
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Object Detection and Segmentation
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Knowledge Distillation and Few-shot Classification
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Efficient Fine-tuning
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Medical Image
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Face Recognition
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Scene Text Recognition (OCR)
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Remote Sensing Image
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3D Representation Learning
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Depth Estimation
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Low-level Vision
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Audio and Speech
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AI for Science
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Neuroscience Learning
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Reinforcement Learning
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Tabular Data
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Survey
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Contribution
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Physics
- @Lupin1998 - MIM`, and current contributors include:
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Related Project
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Paper List of Masked Image Modeling
- Awesome-MIM - supervised visual representation.
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Introduction
- Connected Papers
- arXiv
- arXiv - MIM/blob/master/files/Survey_on_Masked_Modeling_Latest_Version.pdf).
Programming Languages
Categories
Sub Categories
MIM for Transformers
71
Video Rrepresentation
35
Physics
30
Image Generation
28
3D Representation Learning
20
MIM with Constrastive Learning
15
Depth Estimation
13
MIM for Multi-Modality
12
Protein
12
MIM for Transformers and CNNs
9
Object Detection and Segmentation
8
MIM with Advanced Masking
8
Medical Image
7
Remote Sensing Image
7
Efficient Fine-tuning
5
MIM for Vision Generalist Model
5
Knowledge Distillation and Few-shot Classification
4
Scene Text Recognition (OCR)
3
Low-level Vision
2
Chemistry
1
Paper List of Masked Image Modeling
1
Face Recognition
1