Highlights
- Pro
🔔ImageClassification
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
The official implementation of ELSA: Enhanced Local Self-Attention for Vision Transformer
VOLO: Vision Outlooker for Visual Recognition
Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition
Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers
Code for the Convolutional Vision Transformer (ConViT)
An implementation of Performer, a linear attention-based transformer, in Pytorch
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
A curated list of deep learning image classification papers and codes
Official code Cross-Covariance Image Transformer (XCiT)
The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)
Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones
Implementing Stand-Alone Self-Attention in Vision Models using Pytorch
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Learning Features with Parameter-Free Layers, ICLR 2022