lucidrains / bottleneck-transformer-pytorch
Implementation of Bottleneck Transformer in Pytorch
☆673Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for bottleneck-transformer-pytorch
- Code for the Convolutional Vision Transformer (ConViT)☆462Updated 3 years ago
- Bottleneck Transformers for Visual Recognition☆274Updated 3 years ago
- ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet☆1,149Updated last year
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆300Updated 2 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆545Updated 2 years ago
- Exploring Self-attention for Image Recognition, CVPR2020.☆747Updated 4 years ago
- PyTorch implementation of EfficientNetV2 family☆460Updated 2 years ago
- VOLO: Vision Outlooker for Visual Recognition☆934Updated 2 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆425Updated last year
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆224Updated 3 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,532Updated 4 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆627Updated 3 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆345Updated 10 months ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆693Updated 2 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆450Updated 3 years ago
- [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator☆1,309Updated 3 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,085Updated last year
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆588Updated 4 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆228Updated 2 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆454Updated 4 years ago
- [ICCV 2021] Code for approximated exponential maximum pooling☆290Updated last year
- LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference☆602Updated 2 years ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆199Updated 3 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆471Updated this week
- [CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers☆740Updated 3 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆417Updated 6 months ago
- ☆243Updated 3 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.☆555Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆628Updated last year
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale☆287Updated 3 years ago