584 citations · 604 across the 9 of their papers we have counts for
14 papers
ICDAR 2021 Competition on Scene Video Text Spotting
Zhanzhan Cheng, Jing Lu, Baorui Zou +2
Scene video text spotting (SVTS) is a very important research topic because of many real-life applications. However, only a little effort has put to spotting scene video text, in c…
VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
Peng Zhang, Can Li, Liang Qiao +4
Document layout analysis is crucial for understanding document structures. On this task, vision and semantics of documents, and relations between layout components contribute to th…
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
Hui Jiang, Yunlu Xu, Zhanzhan Cheng +5
Text recognition is a popular topic for its broad applications. In this work, we excavate the implicit task, character counting within the traditional text recognition, without add…
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
Liang Qiao, Ying Chen, Zhanzhan Cheng +4
Recently end-to-end scene text spotting has become a popular research topic due to its advantages of global optimization and high maintainability in real applications. Most methods…
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection
Sanli Tang, Zhanzhan Cheng, Shiliang Pu +3
In real applications, object detectors based on deep networks still face challenges of the large domain gap between the labeled training data and unlabeled testing data. To reduce…
Text Recognition in Real Scenarios with a Few Labeled Samples
Jinghuang Lin, Zhanzhan Cheng, Fan Bai +3
Scene text recognition (STR) is still a hot research topic in computer vision field due to its various applications. Existing works mainly focus on learning a general model with a…