101 skills found · Page 1 of 4
open-mmlab / MmpretrainOpenMMLab Pre-training Toolbox and Benchmark
open-mmlab / MmselfsupOpenMMLab Self-Supervised Learning Toolbox and Benchmark
keyu-tian / SparK[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"
microsoft / SimMIMThis is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Robbyant / Lingbot DepthMasked Depth Modeling for Spatial Perception
Westlake-AI / OpenmixupCAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Alpha-VL / ConvMAEConvMAE: Masked Convolution Meets Masked Autoencoders
Lupin1998 / Awesome MIM[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
hustvl / MIMDet[ICCV 2023] You Only Look at One Partial Sequence
ucasligang / Awesome MIMReading list for research topics in Masked Image Modeling
ZrrSkywalker / I2P MAE[CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
sunsmarterjie / ITPN(CVPR2023/TPAMI2024) Integrally Pre-Trained Transformer Pyramid Networks -- A Hierarchical Vision Transformer for Masked Image Modeling
lxtGH / CAEThis is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
LayneH / GreenMIM[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
SwinTransformer / MIM Depth EstimationThis is an official implementation of our CVPR 2023 paper "Revealing the Dark Secrets of Masked Image Modeling" on Depth Estimation.
owkin / HistoSSLscalingCode associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀
Sense-X / MixMIMMixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
JIA-Lab-research / MOODOfficial 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.
facebookresearch / CapiCode and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"
MiliLab / SelectiveMAEOfficial repo for "[ICCV 2025] Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling"
