masked-image-modeling
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OpenMMLab Pre-training Toolbox and Benchmark
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Nov 1, 2024 - Python
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
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Jun 25, 2023 - Python
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
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Jan 23, 2024 - Python
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
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Sep 29, 2022 - Python
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
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Apr 9, 2025 - Python
ConvMAE: Masked Convolution Meets Masked Autoencoders
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Mar 14, 2023 - Python
[ICCV 2023] You Only Look at One Partial Sequence
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Oct 21, 2023 - Python
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
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Apr 23, 2025 - Python
Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
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Dec 3, 2022 - Jupyter Notebook
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
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Jan 11, 2023 - Python
[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
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Jan 16, 2023 - Python
MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
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Jul 2, 2023 - Python
Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
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Jul 2, 2024 - Python
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
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Nov 28, 2023 - Python
PyTorch code for MUST
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May 1, 2025 - Python
[CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling
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Apr 16, 2025 - Python
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
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May 10, 2022 - Jupyter Notebook
[ICLR2024] Exploring Target Representations for Masked Autoencoders
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Jan 17, 2024 - Python
[NIPS'23] Official Code of the paper "Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing"
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Jan 15, 2024 - Python
PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
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Jan 10, 2023 - Python
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