Alternatives and similar repositories for MFM

Users that are interested in MFM are comparing it to the libraries listed below

• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining
  ☆102Updated 5 months ago
• Haoqing-Wang / LocalMIM
  [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction
  ☆52Updated 2 years ago
• AbrahamYabo / SdAE
  ☆62Updated 2 years ago
• ucasligang / SemMAE
  [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders
  ☆40Updated 2 years ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆107Updated 2 years ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆66Updated 8 months ago
• Haochen-Wang409 / DropPos
  [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  ☆61Updated last year
• ZhichengHuang / CMAE
  The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745
  ☆109Updated last year
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆49Updated 2 years ago
• gkakogeorgiou / attmask
  [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling
  ☆74Updated last year
• wgcban / adamae
  [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
  ☆82Updated last year
• Wang-pengfei / SAGM
  The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
  ☆76Updated 2 years ago
• Sense-X / MixMIM
  MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
  ☆145Updated 2 years ago
• val-iisc / DeiT-LT
  [CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"
  ☆44Updated 9 months ago
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆87Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• CoinCheung / MFM
  code for paper "Masked Frequency Modeling for Self-Supervised Visual Pre-Training" (https://arxiv.org/pdf/2206.07706.pdf)
  ☆24Updated 2 years ago
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆41Updated last year
• junchen14 / LoMaR
  LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)
  ☆65Updated 6 months ago
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆77Updated 3 months ago
• zhaohengz / LLaMP
  Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"
  ☆38Updated last year
• OliverRensu / ARM
  [ICLR2025] This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
  ☆85Updated 4 months ago
• renytek13 / Soft-Prompt-Generation
  [ECCV 2024] Soft Prompt Generation for Domain Generalization
  ☆27Updated last year
• YBZh / AdvStyle
  Adversarial Style Augmentation for Domain Generalization
  ☆18Updated 2 years ago
• visinf / adapter_plus
  Adapters Strike Back (CVPR 2024)
  ☆38Updated last year
• scok30 / MAE-CIL
  Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"
  ☆43Updated last year
• shashankvkt / AlignMixup_CVPR22
  Official Implementation of AlignMixup - CVPR 2022
  ☆71Updated 3 years ago
• ChengHan111 / E2VPT
  Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
  ☆70Updated last year
• andytu28 / VQT
  ☆22Updated 2 years ago
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆57Updated last year