PatrickHua / SimpleMAE

Related projects: ⓘ

• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆47Updated last year
• haohang96 / MRA
  ☆60Updated 2 years ago
• CupidJay / Scaled-down-self-supervised-learning
  official pytorch implementation of Rethining Self-supervised Learning: Small is Beautiful.
  ☆41Updated 3 years ago
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆57Updated last year
• rishikksh20 / ResMLP-pytorch
  ResMLP: Feedforward networks for image classification with data-efficient training
  ☆38Updated 3 years ago
• AbrahamYabo / SdAE
  ☆54Updated last year
• ucasligang / SemMAE
  [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders
  ☆32Updated last year
• ZhichengHuang / CMAE
  The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745
  ☆75Updated 7 months ago
• shlokk / mae-contrastive
  Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
  ☆28Updated last year
• bwconrad / can
  PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
  ☆36Updated last year
• ml-jku / MAE-CT
  ☆31Updated 5 months ago
• Phoenix1153 / ViT_OOD_generalization
  ☆84Updated 2 years ago
• junchen14 / LoMaR
  LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)
  ☆61Updated 2 years ago
• MinaGhadimiAtigh / HyperbolicImageSegmentation
  Hyperbolic Image Segmentation, CVPR 2022
  ☆72Updated 2 years ago
• yhlleo / VTs-Drloc
  NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".
  ☆138Updated last year
• Jack-Etheredge / early_convolutions_vit_pytorch
  (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better
  ☆42Updated 2 years ago
• ExplainableML / UncertaintyAwareCycleConsistency
  Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.
  ☆25Updated 2 years ago
• pietroastolfi / suave-daino
  Code release for "Semi-supervised learning made simple with self-supervised clustering"
  ☆54Updated last year
• JunlinHan / YOCO
  Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
  ☆103Updated last year
• bytedance / TWIST
  Official codes: Self-Supervised Learning by Estimating Twin Class Distribution
  ☆96Updated 2 years ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆76Updated 2 years ago
• PatrickHua / FeatureDecorrelationSSL
  ☆16Updated 2 years ago
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆66Updated last year
• VITA-Group / ViT-Anti-Oversmoothing
  [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…
  ☆76Updated 8 months ago
• chenhaoxing / SSFormers
  This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning" (SCIENCE CHINA Information Sciences).
  ☆48Updated last year
• onuriel / PermutedAdaIN
  Pytorch Implementation of PermutedAdaIN
  ☆38Updated 3 years ago
• mpatacchiola / contextual-squeeze-and-excitation
  Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 202…
  ☆24Updated last year
• OliverRensu / SDMP
  ☆19Updated last year
• kahnchana / opl
  Official repository for "Orthogonal Projection Loss" (ICCV'21)
  ☆114Updated 2 years ago
• hankook / AugSelf
  ☆44Updated 2 years ago