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Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Introduction

[ALGORITHM]

@inproceedings{WangXSZWLYS19,
  author={Wenhai Wang and Enze Xie and Xiaoge Song and Yuhang Zang and Wenjia Wang and Tong Lu and Gang Yu and Chunhua Shen},
  title={Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network},
  booktitle={ICCV},
  pages={8439--8448},
  year={2019}
  }

Results and models

CTW1500

Method Pretrained Model Training set Test set #epochs Test size Recall Precision Hmean Download
PANet ImageNet CTW1500 Train CTW1500 Test 600 640 0.776 (0.717) 0.838 (0.835) 0.806 (0.801) model | log

ICDAR2015

Method Pretrained Model Training set Test set #epochs Test size Recall Precision Hmean Download
PANet ImageNet ICDAR2015 Train ICDAR2015 Test 600 736 0.734 (0.74) 0.856 (0.86) 0.791 (0.795) model | log

Note: We've upgraded our IoU backend from Polygon3 to shapely. There are some performance differences for some models due to the backends' different logics to handle invalid polygons (more info here). New evaluation result is presented in brackets and new logs will be uploaded soon.