20 citations · 20 across the 5 of their papers we have counts for
5 papers
Arbitrary Shape Text Detection via Segmentation with Probability Maps
Shi-Xue Zhang, Xiaobin Zhu, Lei Chen +2
Arbitrary shape text detection is a challenging task due to the significantly varied sizes and aspect ratios, arbitrary orientations or shapes, inaccurate annotations, etc. Due to…
Graph Fusion Network for Multi-Oriented Object Detection
Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou +1
In object detection, non-maximum suppression (NMS) methods are extensively adopted to remove horizontal duplicates of detected dense boxes for generating final object instances. Ho…
Kernel Proposal Network for Arbitrary Shape Text Detection
Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou +2
Segmentation-based methods have achieved great success for arbitrary shape text detection. However, separating neighboring text instances is still one of the most challenging probl…
Towards Open-Set Text Recognition via Label-to-Prototype Learning
Chang Liu, Chun Yang, Hai-Bo Qin +3
Scene text recognition is a popular topic and extensively used in the industry. Although many methods have achieved satisfactory performance for the close-set text recognition chal…
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou +4
Arbitrary shape text detection is a challenging task due to the high variety and complexity of scenes texts. In this paper, we propose a novel unified relational reasoning graph ne…