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ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias

Introduction | Updates | Results&Pretrained Models | Statement |

Introduction

This repository contains the code, models, test results for the paper ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias. It contains several reduction cells and normal cells to introduce scale-invariance and locality into vision transformers.

Updates

06/08/2021 The paper is post on arxiv! The code will be made public available once cleaned up.

Results

Main Results on ImageNet-1K with pretrained models

name resolution acc@1 acc@5 acc@RealTop-1 Pretrained
ViTAE-T 224x224 75.3 92.7 82.9 Coming Soon
ViTAE-6M 224x224 77.9 94.1 84.9 Coming Soon
ViTAE-13M 224x224 81.0 95.4 86.9 Coming Soon
ViTAE-S 224x224 82.0 95.9 87.0 Coming Soon

Statement

This project is for research purpose only. For any other questions please contact yufei.xu at outlook.com qmzhangzz at hotmail.com .

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