dvlab-research / GridMask

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GridMask Data Augmentation

Introduction

This project is the code for implementing the GridMask augmentation for image classification and object detection. The full paper is available at: https://arxiv.org/abs/2001.04086.

Main Result

ImageNet

Baseline + GridMask
ResNet-50 76.5 77.9
ResNet-101 78.0 79.1
ResNet-152 78.3 79.7

COCO2017

Baseline + GridMask
FasterRCNN-R50-FPN 37.4 39.2
FasterRCNN-X101-FPN 41.2 42.6

You can find pretrained models to achieve the results in models

About


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Language:Python 77.9%Language:Cuda 17.4%Language:C++ 4.2%Language:Dockerfile 0.6%