Scene Text Detection with Supervised Pyramid Context Network
arXiv:1811.08605
Abstract
Scene text detection methods based on deep learning have achieved remarkable results over the past years. However, due to the high diversity and complexity of natural scenes, previous state-of-the-art text detection methods may still produce a considerable amount of false positives, when applied to images captured in real-world environments. To tackle this issue, mainly inspired by Mask R-CNN, we propose in this paper an effective model for scene text detection, which is based on Feature Pyramid Network (FPN) and instance segmentation. We propose a supervised pyramid context network (SPCNET) to precisely locate text regions while suppressing false positives. Benefited from the guidance of semantic information and sharing FPN, SPCNET obtains significantly enhanced performance while introducing marginal extra computation. Experiments on standard datasets demonstrate that our SPCNET clearly outperforms start-of-the-art methods. Specifically, it achieves an F-measure of 92.1% on ICDAR2013, 87.2% on ICDAR2015, 74.1% on ICDAR2017 MLT and 82.9% on Total-Text.
arXiv commentAccepted by AAAI 2019
References in corpus (16)
- TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- Scene Text Detection via Holistic, Multi-Channel Prediction
- Synthetic Data for Text Localisation in Natural Images
- Multi-Oriented Text Detection with Fully Convolutional Networks
- Single Shot Text Detector with Regional Attention
- Deep Direct Regression for Multi-Oriented Scene Text Detection
- PixelLink: Detecting Scene Text via Instance Segmentation
- Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
- WordSup: Exploiting Word Annotations for Character based Text Detection
- Fully Convolutional Instance-aware Semantic Segmentation
- Shape Robust Text Detection with Progressive Scale Expansion Network
- IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
- Learning Markov Clustering Networks for Scene Text Detection
- MegDet: A Large Mini-Batch Object Detector
- Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
- Detecting Oriented Text in Natural Images by Linking Segments