Alternatives and similar repositories for awesome-MIM

Users that are interested in awesome-MIM are comparing it to the libraries listed below

• lxtGH / CAE
  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
  ☆198Updated 2 years ago
• Alpha-VL / ConvMAE
  ConvMAE: Masked Convolution Meets Masked Autoencoders
  ☆516Updated 2 years ago
• ShoufaChen / AdaptFormer
  [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
  ☆372Updated 3 years ago
• implus / UM-MAE
  Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
  ☆244Updated 2 years ago
• raoyongming / DenseCLIP
  [CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
  ☆539Updated 2 years ago
• SwinTransformer / Feature-Distillation
  ☆263Updated 2 years ago
• xyupeng / ContrastiveCrop
  [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
  ☆288Updated 3 years ago
• facebookresearch / flip
  Official Open Source code for "Scaling Language-Image Pre-training via Masking"
  ☆428Updated 2 years ago
• GitGyun / visual_token_matching
  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
  ☆253Updated 2 years ago
• hjbahng / visual_prompting
  Exploring Visual Prompts for Adapting Large-Scale Models
  ☆285Updated 3 years ago
• amirbar / visual_prompting
  Official implementation and data release of the paper "Visual Prompting via Image Inpainting".
  ☆312Updated 2 years ago
• Sense-X / MixMIM
  MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
  ☆145Updated 2 years ago
• bfshi / AbSViT
  Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)
  ☆168Updated 2 years ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆108Updated 2 years ago
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆235Updated last year
• implus / mae_segmentation
  reproduction of semantic segmentation using masked autoencoder (mae)
  ☆169Updated 3 years ago
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆83Updated 3 years ago
• jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning
  A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
  ☆410Updated last year
• Lupin1998 / Awesome-MIM
  [Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
  ☆345Updated 6 months ago
• taoyang1122 / adapt-image-models
  [ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition
  ☆294Updated 2 years ago
• chongzhou96 / MaskCLIP
  Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)
  ☆464Updated 3 years ago
• zhihou7 / BatchFormer
  CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
  ☆252Updated 2 years ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆188Updated 2 years ago
• ma-xu / Context-Cluster
  [ICLR 2023 Oral] Image as Set of Points
  ☆572Updated last year
• MendelXu / zsseg.baseline
  Open-vocabulary Semantic Segmentation
  ☆182Updated 2 years ago
• zengwang430521 / TCFormer
  The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
  ☆242Updated last year
• fundamentalvision / Uni-Perceiver
  ☆282Updated 2 months ago
• CVMI-Lab / SyntheticData
  Is synthetic data from generative models ready for image recognition?
  ☆184Updated 2 years ago
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆84Updated last year
• youweiliang / evit
  Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations
  ☆194Updated 2 years ago