WebCRNN [45], RARE [46], FOTS [47], Rotation-Sensitive Regression [48], and STN-OCR [49] provide more choices for character recognition. These methods have a strong ability to deal with different noises and significantly improve the performance of ticket recognition. B. Ticket recognition system WebMar 14, 2024 · Download a PDF of the paper titled Rotation-Sensitive Regression for Oriented Scene Text Detection, by Minghui Liao and 4 other authors. Download PDF …
Rotation-Sensitive Regression for Oriented Scene Text Detection
从公开论文中可以看到,起源于图像分类、检测、语义分割等视觉处理任务的各个基础网络(backbone network),纷纷被征用来提取图像中文字区域的特征向量。同时,起源于物体检测、语义分割任务的多个网络框架,也被改造后 … See more WebJan 5, 2024 · Incidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community. Most existing methods treat … hcf of 45 80 and 120
5 Types of Regression and their properties by George Seif
WebArbitrary-oriented object detection has recently attracted increasing attention in vision for their importance in aerial imagery, scene text, and face etc. In this paper, we show that existing regression-based rotation detectors suffer the problem of discontinuous boundaries, which is directly caused by angular periodicity or corner ordering. WebSep 2, 2024 · Regression-Based Approach. The regression-based approach considers text detection as a bounding-box regression problem. laid the foundation for a rotated representation of anchor-based methods. The skew IoU can calculate the exact IoU between two rboxes. RRoI pooling is an appropriate pooling method for proposing rbox … WebOct 1, 2024 · FOTS: Fast oriented text spotting with a unified network; Liao M. et al. Rotation-sensitive regression for oriented scene text detection; Liao M. et al. … hcf of 45 and 35