lucidrains / bottleneck-transformer-pytorchLinks
Implementation of Bottleneck Transformer in Pytorch
☆677Updated 4 years ago
Alternatives and similar repositories for bottleneck-transformer-pytorch
Users that are interested in bottleneck-transformer-pytorch are comparing it to the libraries listed below
Sorting:
- Code for the Convolutional Vision Transformer (ConViT)☆469Updated 3 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆559Updated 3 years ago
- [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator☆1,314Updated 4 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆456Updated 4 years ago
- ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet☆1,191Updated last year
- VOLO: Vision Outlooker for Visual Recognition☆948Updated 3 years ago
- Bottleneck Transformers for Visual Recognition☆279Updated 4 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,530Updated 4 years ago
- Exploring Self-attention for Image Recognition, CVPR2020.☆750Updated 5 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆309Updated 3 years ago
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale☆301Updated 4 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆433Updated 2 years ago
- PyTorch implementation of EfficientNetV2 family☆477Updated 3 years ago
- Implementation of the Swin Transformer in PyTorch.☆846Updated 4 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆477Updated 10 months ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆349Updated last year
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆662Updated 4 years ago
- [TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers☆487Updated 2 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆419Updated last year
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆228Updated 4 years ago
- [CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers☆755Updated 4 years ago
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.☆1,212Updated 4 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,077Updated 2 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆696Updated 3 years ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,045Updated 4 years ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆200Updated 4 years ago
- Compute CNN receptive field size in pytorch in one line☆364Updated last year
- Semi-Supervised Learning, Object Detection, ICCV2021☆918Updated last year
- A New Optimization Technique for Deep Neural Networks☆540Updated 3 years ago