Alternatives and similar repositories for DMAE

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

• AbrahamYabo / SdAE
  ☆64Updated 3 years ago
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆57Updated 2 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆94Updated 2 years ago
• JieShibo / PETL-ViT
  [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
  ☆198Updated 2 years ago
• ziplab / SPT
  [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
  ☆75Updated 2 years ago
• junchen14 / LoMaR
  LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)
  ☆66Updated 10 months ago
• Sense-X / MixMIM
  MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
  ☆146Updated 2 years ago
• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining
  ☆107Updated 9 months ago
• gkakogeorgiou / attmask
  [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling
  ☆74Updated last year
• ChengHan111 / E2VPT
  Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
  ☆72Updated 2 years ago
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆84Updated 3 years ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆193Updated 2 years ago
• Haochen-Wang409 / DropPos
  [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  ☆62Updated last year
• MengLcool / AdaViT
  [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".
  ☆56Updated 3 years ago
• UMass-Embodied-AGI / Mod-Squad
  ☆93Updated 2 years ago
• adaptivetokensampling / ATS
  Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)
  ☆105Updated last year
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆81Updated 2 years ago
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆106Updated 2 years ago
• Sense-X / TokenMix
  TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)
  ☆95Updated 3 years ago
• Haoqing-Wang / LocalMIM
  [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction
  ☆55Updated 2 years ago
• lxtGH / CAE
  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
  ☆198Updated 3 years ago
• shashankvkt / AlignMixup_CVPR22
  Official Implementation of AlignMixup - CVPR 2022
  ☆72Updated 3 years ago
• andytu28 / VQT
  ☆22Updated 2 years ago
• facebookresearch / r-mae
  PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411
  ☆113Updated 2 years ago
• pengzhiliang / G2SD
  ☆88Updated 2 years ago
• xmed-lab / CLIPN
  ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
  ☆141Updated 2 years ago
• wgcban / adamae
  [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
  ☆84Updated 2 years ago
• ChangyaoTian / VL-LTR
  VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
  ☆69Updated 3 years ago
• yangyangyang127 / APE
  [ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"
  ☆148Updated last year
• liuzhuang13 / bias
  ☆113Updated last year