|
- MhLiao DB - GitHub
This is a PyToch implementation of DBNet and DBNet++(TPAMI, arxiv) It presents a real-time arbitrary-shape scene text detector, achieving the state-of-the-art performance on standard benchmarks Part of the code is inherited from MegReader
- Real-time Scene Text Detection with Differentiable Binarization
In this paper, we propose a module named Differentiable Binarization (DB), which can perform the binarization process in a segmentation network
- 手把手教你学DBNet - 知乎 - 知乎专栏
二值化阈值由网络学习得到，彻底将二值化这一步骤加入到网络里一起训练，这样最终的输出图对于阈值就会具有非常强的鲁棒性，在简化了后处理的同时提高了文本检测的效果。 整个流程如下 对于每个网络，一定要区分训练和推理阶段的不同： 推理阶段：通过P或B就可以得到文本框。 以上就是DBNet的大致流程，接下来，结合原理和代码，对每一个步骤展开进行阐述。 首先是主干网络。 主干网络是 ResNet，在stage2-4中使用 Deformable convolution 来更好地检测长文本。 然后增加了一个FPN结构，想必各位大佬都懂。 经过FPN后，得到了四张大小分别为原图的1 4，1 8，1 16，1 32的特征图，如下图，
- DBNet - Nithish Duvvuru - GitHub Pages
DBNet Introduction Differentiable Binarization is an architecture used for text detection, particularly in the context of scene text recognition It aims to address the challenges of accurately segmenting text regions from complex backgrounds in images
- DBNet Text Detector - Wolfram Neural Net Repository
DBNet Text Detector Trained on ICDAR-2015 and Total-Text Data Detect and localize text in an image Released in 2022, this family of segmentation networks introduces a novel framework for detecting arbitrary-shape scene text
- CC-DBNet: A Scene Text Detector Combining Collaborative . . . - Springer
To address these issues, we propose a scene text detector called CC-DBNet This detector combines Intra-Instance Collaborative Learning (IICL) and the Cascaded Feature Fusion Module (CFFM) to detect arbitrary-shaped text instances
- [22. 02] DBNet++ | DOCSAID
Following up on the previous DBNet paper, the authors recognized room for further improvement in the model They proposed DBNet++, which builds upon the existing architecture by optimizing the way features are fused
- Text Detection Models — MMOCR 1. 0. 1 documentation - Read the Docs
In this paper, we propose a Differentiable Binarization (DB) module that integrates the binarization process, one of the most important steps in the post-processing procedure, into a segmentation network
|
|
|