Detecting Multi-Oriented Text with Corner-based Region Proposals
arXiv:1804.02690 · doi:10.1016/j.neucom.2019.01.013
Abstract
Previous approaches for scene text detection usually rely on manually defined sliding windows. This work presents an intuitive two-stage region-based method to detect multi-oriented text without any prior knowledge regarding the textual shape. In the first stage, we estimate the possible locations of text instances by detecting and linking corners instead of shifting a set of default anchors. The quadrilateral proposals are geometry adaptive, which allows our method to cope with various text aspect ratios and orientations. In the second stage, we design a new pooling layer named Dual-RoI Pooling which embeds data augmentation inside the region-wise subnetwork for more robust classification and regression over these proposals. Experimental results on public benchmarks confirm that the proposed method is capable of achieving comparable performance with state-of-the-art methods. The code is publicly available at https://github.com/xhzdeng/crpn
References in corpus (13)
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Arbitrary-Oriented Scene Text Detection via Rotation Proposals
- Robust Text Detection in Natural Scene Images
- R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
- TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
- PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
- PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
- Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
- Deep Extreme Cut: From Extreme Points to Object Segmentation