masked-image-modeling topic

OpenMMLab Pre-training Toolbox and Benchmark

open-mmlab

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

LayneH

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

JunlinHan

[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...

keyu-tian

[ECCV 2022] Official pytorch implementation of "mc-BEiT: Multi-choice Discretization for Image BERT Pre-training" in European Conference on Computer Vision (ECCV) 2022.

lixiaotong97

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

Lupin1998

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

bwconrad

[ICLR2024] Exploring Target Representations for Masked Autoencoders

liuxingbin

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

Haochen-Wang409

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

Atten4Vis