lucidrains / transformer-in-transformerLinks
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
β305Updated 3 years ago
Alternatives and similar repositories for transformer-in-transformer
Users that are interested in transformer-in-transformer are comparing it to the libraries listed below
Sorting:
- Implementation of the π Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbonesβ199Updated 4 years ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformersβ226Updated 4 years ago
- [ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"β289Updated 3 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"β556Updated 3 years ago
- Self-supervised vIsion Transformer (SiT)β336Updated 2 years ago
- Code for the Convolutional Vision Transformer (ConViT)β466Updated 3 years ago
- β247Updated 3 years ago
- MLP-Like Vision Permutator for Visual Recognition (PyTorch)β191Updated 3 years ago
- A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Visionβ¦β182Updated 4 years ago
- Implementing Lambda Networks using Pytorchβ140Updated 4 years ago
- β138Updated 3 years ago
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scaleβ296Updated 3 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"β431Updated last year
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Visionβ218Updated 4 years ago
- β191Updated 2 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorchβ259Updated 4 years ago
- EsViT: Efficient self-supervised Vision Transformersβ413Updated last year
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformersβ232Updated 3 years ago
- β247Updated 3 years ago
- An implementation of the efficient attention module.β319Updated 4 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)β456Updated 4 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.β228Updated 3 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)β486Updated 4 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".β657Updated 4 years ago
- Awesome Transformers (self-attention) in Computer Visionβ271Updated 3 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".β159Updated 4 years ago
- Accelerating T2t-ViT by 1.6-3.6x.β252Updated 3 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".β144Updated 6 months ago
- Implementation of ResMLP, an all MLP solution to image classification, in Pytorchβ198Updated 2 years ago
- A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.β252Updated 4 years ago