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Search results for self supervised learning masked image modeling

masked-image-modeling x

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17 search results found

Mmpretrain ⭐ 3,177

OpenMMLab Pre-training Toolbox and Benchmark

Mmselfsup ⭐ 3,066

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Spark ⭐ 1,355

[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"

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

Openmixup ⭐ 538

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Awesome Mim ⭐ 178

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

Greenmim ⭐ 129

[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

[CVPR'23] Hard Patches Mining for Masked Image Modeling

Mae Scalable Vision Learners ⭐ 43

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping

[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

Official implementation of Matrix Variational Masked Autoencoder (M-MAE) for paper "Information Flow in Self-Supervised Learning" (https://arxiv.org/abs/2309.17281)

PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".

[NeurIPS 2023] Masked Image Residual Learning for Scaling Deeper Vision Transformers

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1-17 of 17 search results

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