Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Code release for ConvNeXt model

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

[NeurIPS 2022] Official code for "Focal Modulation Networks"

Official Code of Paper "Reversible Column Networks" "RevColv2"

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

CVNets: A library for training computer vision networks

The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"

The official code of "Rethinking Local Perception in Lightweight Vision Transformer"