Alternatives and similar repositories for poolformer

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

• microsoft / SimMIM
  This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
  ☆1,008Updated 3 years ago
• yitu-opensource / T2T-ViT
  ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
  ☆1,190Updated 2 years ago
• microsoft / Cream
  This is a collection of our NAS and Vision Transformer work.
  ☆1,807Updated last year
• DingXiaoH / RepLKNet-pytorch
  Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
  ☆931Updated last year
• whai362 / PVT
  Official implementation of PVT series
  ☆1,866Updated 3 years ago
• locuslab / convmixer
  Implementation of ConvMixer for "Patches Are All You Need? 🤷"
  ☆1,078Updated 3 years ago
• SHI-Labs / Neighborhood-Attention-Transformer
  Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
  ☆1,160Updated last year
• microsoft / CvT
  This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
  ☆587Updated 2 years ago
• snap-research / EfficientFormer
  EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
  ☆1,093Updated 2 years ago
• facebookresearch / moco-v3
  PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
  ☆1,305Updated 4 years ago
• Sense-X / UniFormer
  [ICLR2022] official implementation of UniFormer
  ☆889Updated last year
• LeapLabTHU / DAT
  Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Atte…
  ☆912Updated last year
• xxxnell / how-do-vits-work
  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
  ☆820Updated 3 years ago
• facebookresearch / ConvNeXt-V2
  Code release for ConvNeXt V2 model
  ☆1,903Updated last year
• sail-sg / metaformer
  MetaFormer Baselines for Vision (TPAMI 2024)
  ☆494Updated last year
• microsoft / Focal-Transformer
  [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
  ☆559Updated 3 years ago
• lucidrains / mlp-mixer-pytorch
  An All-MLP solution for Vision, from Google AI
  ☆1,053Updated 4 months ago
• microsoft / CSWin-Transformer
  CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022
  ☆585Updated 2 years ago
• d-li14 / involution
  [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
  ☆1,317Updated 4 years ago
• SwinTransformer / Transformer-SSL
  This is an official implementation for "Self-Supervised Learning with Swin Transformers".
  ☆665Updated 4 years ago
• Meituan-AutoML / Twins
  Two simple and effective designs of vision transformer, which is on par with the Swin transformer
  ☆606Updated 2 years ago
• facebookresearch / MaskFormer
  Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
  ☆1,437Updated 3 years ago
• berniwal / swin-transformer-pytorch
  Implementation of the Swin Transformer in PyTorch.
  ☆852Updated 4 years ago
• facebookresearch / simsiam
  PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
  ☆1,219Updated 2 years ago
• microsoft / FocalNet
  [NeurIPS 2022] Official code for "Focal Modulation Networks"
  ☆742Updated 2 years ago
• sail-sg / Adan
  Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
  ☆803Updated 5 months ago
• facebookresearch / LeViT
  LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
  ☆620Updated 3 years ago
• bytedance / ibot
  iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
  ☆754Updated 3 years ago
• DirtyHarryLYL / Transformer-in-Vision
  Recent Transformer-based CV and related works.
  ☆1,336Updated 2 years ago
• czczup / ViT-Adapter
  [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
  ☆1,443Updated 5 months ago