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3.3 KiB
3.3 KiB
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.