Research map / Detection and segmentation / CNN features
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add SE blocks to VGG16 (SE-VGG16 instead of VGG16) (ablation) | Proposed detector · CTW1500 | Hmean: 79.4 -> 80.1 | Helped |
| Add SE blocks to VGG16 (SE-VGG16 instead of VGG16) (ablation) | Proposed detector · ICDAR2015 | Hmean: 86.8 -> 87.6 | Helped |
| Use adaptive boundary-point representation instead of fixed 14 points (ablation) | Proposed detector · CTW1500 | Recall: 76.4 -> 80.2 | Helped |
| Use adaptive boundary-point representation instead of fixed 14 points (ablation) | Proposed detector · CTW1500 | Hmean: 78.2 -> 80.1 | Helped |
| Avoid pixel-wise prediction by representing proposals with recurrently predicted boundary points | Arbitrary-shape text detector · Arbitrary-shape text detection | speed: 6.9 fps -> 10.0 fps | Helped |
Closest papers by meaning
- ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection (CVPR 2020 · similarity 0.91)
- Character Region Awareness for Text Detection (CVPR 2019 · similarity 0.90)
- Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation (CVPR 2018 · similarity 0.90)
- Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes (CVPR 2019 · similarity 0.90)
- Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction (CVPR 2024 · similarity 0.87)
- LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network (AAAI 2024 · similarity 0.87)
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