Alternatives and similar repositories for vision-longformer

Users that are interested in vision-longformer are comparing it to the libraries listed below

• lucidrains / halonet-pytorch
  Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones
  ☆199Updated 4 years ago
• houqb / VisionPermutator
  MLP-Like Vision Permutator for Visual Recognition (PyTorch)
  ☆191Updated 3 years ago
• lucidrains / transformer-in-transformer
  Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…
  ☆305Updated 3 years ago
• ShoufaChen / CycleMLP
  [ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"
  ☆289Updated 3 years ago
• yuexy / PS-ViT
  Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.
  ☆153Updated 3 years ago
• Meituan-AutoML / CPVT
  ☆192Updated 2 years ago
• naver-ai / pit
  ☆246Updated 4 years ago
• zihangJiang / TokenLabeling
  Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
  ☆432Updated last year
• yhlleo / VTs-Drloc
  [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".
  ☆144Updated 7 months ago
• mlpc-ucsd / CoaT
  (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers
  ☆232Updated 3 years ago
• microsoft / esvit
  EsViT: Efficient self-supervised Vision Transformers
  ☆413Updated last year
• blackfeather-wang / Dynamic-Vision-Transformer
  Accelerating T2t-ViT by 1.6-3.6x.
  ☆252Updated 3 years ago
• microsoft / Focal-Transformer
  [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
  ☆558Updated 3 years ago
• zhoudaquan / dvit_repo
  ☆139Updated 3 years ago
• implus / UM-MAE
  Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
  ☆242Updated 2 years ago
• facebookresearch / SWAG
  Official repository for "Revisiting Weakly Supervised Pre-Training of Visual Perception Models". https://arxiv.org/abs/2201.08371.
  ☆179Updated 3 years ago
• lucidrains / uniformer-pytorch
  Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…
  ☆101Updated 3 years ago
• lucidrains / pixel-level-contrastive-learning
  Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
  ☆260Updated 4 years ago
• rishikksh20 / convolution-vision-transformers
  PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
  ☆226Updated 4 years ago
• tahmid0007 / VisualTransformers
  A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision…
  ☆181Updated 4 years ago
• SHI-Labs / Convolutional-MLPs
  [Preprint] ConvMLP: Hierarchical Convolutional MLPs for Vision, 2021
  ☆167Updated 2 years ago
• danczs / Visformer
  ☆134Updated 2 years ago
• google-research / nested-transformer
  Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
  ☆198Updated 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
• Sara-Ahmed / SiT
  Self-supervised vIsion Transformer (SiT)
  ☆337Updated 2 years ago
• gupta-abhay / pytorch-vit
  An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
  ☆297Updated 3 years ago
• NVlabs / A-ViT
  Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)
  ☆160Updated 3 years ago
• facebookresearch / convit
  Code for the Convolutional Vision Transformer (ConViT)
  ☆468Updated 3 years ago
• NVlabs / FAN
  Official PyTorch implementation of Fully Attentional Networks
  ☆479Updated 2 years ago
• ofsoundof / LocalViT
  ☆117Updated 3 years ago