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This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
real Transformer TeraFLOPS on various GPUs
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
This is a collection of our NAS and Vision Transformer work.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
Official implementation for paper "LightViT: Towards Light-Weight Convolution-Free Vision Transformers"
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [ECCV 2022].