Alternatives and similar repositories for SdAE

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

• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling
  ☆95Updated last month
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆106Updated last year
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆83Updated 2 years ago
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆55Updated last year
• junchen14 / LoMaR
  LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)
  ☆64Updated 2 months ago
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆75Updated 2 years ago
• ZhichengHuang / CMAE
  The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745
  ☆103Updated last year
• Sense-X / MixMIM
  MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
  ☆142Updated last year
• Haoqing-Wang / LocalMIM
  [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction
  ☆49Updated last year
• scok30 / MAE-CIL
  Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"
  ☆42Updated last year
• ucasligang / SemMAE
  [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders
  ☆38Updated last year
• pengzhiliang / G2SD
  ☆85Updated last year
• OpenDriveLab / maskalign
  [CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"
  ☆69Updated last year
• Haochen-Wang409 / DropPos
  [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  ☆60Updated last year
• OliverRensu / SDMP
  ☆19Updated 2 years ago
• LayneH / LEWEL
  [CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'
  ☆27Updated 2 years ago
• OliverRensu / DeepMIM
  [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling
  ☆53Updated 3 weeks ago
• shashankvkt / AlignMixup_CVPR22
  Official Implementation of AlignMixup - CVPR 2022
  ☆71Updated 3 years ago
• gkakogeorgiou / attmask
  [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling
  ☆71Updated last year
• saic-fi / Bayesian-Prompt-Learning
  [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization
  ☆33Updated last year
• ZrrSkywalker / CaFo
  [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
  ☆43Updated last year
• haohang96 / MRA
  ☆57Updated 2 years ago
• ChangyaoTian / VL-LTR
  VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
  ☆68Updated 2 years ago
• LightDXY / BootMAE
  ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining
  ☆97Updated 2 years ago
• TonyLianLong / UnsupervisedSelectiveLabeling
  [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
  ☆62Updated last year
• ArchipLab-LinfengZhang / contrastive-deep-supervision
  Codes for ECCV2022 paper - contrastive deep supervision
  ☆69Updated 2 years ago
• Sense-X / TokenMix
  TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)
  ☆93Updated 2 years ago
• TencentARC / ConMIM
  Official codes for ConMIM (ICLR 2023)
  ☆58Updated 2 years ago
• ChenMnZ / CF-ViT
  (AAAI 2023 Oral) Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"
  ☆105Updated last year
• bwconrad / can
  PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
  ☆39Updated 2 years ago