Alternatives and similar repositories for IPViT:

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

• vtddggg / Robust-Vision-Transformer
  The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)
  ☆140Updated 2 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆84Updated 2 years ago
• LiYingwei / ShapeTextureDebiasedTraining
  Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)
  ☆108Updated last year
• yuexy / PS-ViT
  Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.
  ☆150Updated 3 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆150Updated 2 years ago
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆173Updated last year
• yhlleo / VTs-Drloc
  [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".
  ☆140Updated 3 weeks ago
• NVlabs / A-ViT
  Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)
  ☆152Updated 2 years ago
• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆259Updated 3 years ago
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆83Updated 11 months ago
• blackfeather-wang / InfoPro-Pytorch
  Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…
  ☆90Updated 2 years ago
• LUSSeg / ImageNet-S
  (TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.
  ☆174Updated last year
• Beckschen / TransMix
  [CVPR 2022] This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.
  ☆155Updated 2 years ago
• xxxnell / spatial-smoothing
  (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…
  ☆78Updated 2 years ago
• youweiliang / evit
  Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations
  ☆175Updated last year
• JunlinHan / YOCO
  Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
  ☆104Updated last year
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆88Updated 3 years ago
• DTennant / CL-Visualizing-Feature-Transformation
  Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
  ☆89Updated 3 years ago
• linusericsson / ssl-transfer
  Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
  ☆181Updated last year
• ChengyueGongR / PatchVisionTransformer
  ☆73Updated 2 years ago
• LightDXY / BootMAE
  ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining
  ☆97Updated 2 years ago
• ytongbai / ViTs-vs-CNNs
  [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
  ☆176Updated 3 years ago
• zhoudaquan / Refiner_ViT
  ☆108Updated 3 years ago
• MadryLab / backgrounds_challenge
  ☆140Updated 4 years ago
• bethgelab / robustness
  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
  ☆132Updated last year
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆77Updated 2 years ago
• xyupeng / ContrastiveCrop
  [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
  ☆286Updated 2 years ago
• AidenDurrant / MoCo-Pytorch
  An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.
  ☆66Updated 4 years ago
• liuxingbin / dbot
  [ICLR2024] Exploring Target Representations for Masked Autoencoders
  ☆52Updated last year
• snu-mllab / PuzzleMix
  Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
  ☆159Updated 3 years ago