Zobrazeno 11 - 20
of 78
pro vyhledávání: '"Liao, Minghui"'
Autor:
He, Minghang, Liao, Minghui, Yang, Zhibo, Zhong, Humen, Tang, Jun, Cheng, Wenqing, Yao, Cong, Wang, Yongpan, Bai, Xiang
Over the past few years, the field of scene text detection has progressed rapidly that modern text detectors are able to hunt text in various challenging scenarios. However, they might still fall short when handling text instances of extreme aspect r
Externí odkaz:
http://arxiv.org/abs/2104.01070
Scene text detection, which is one of the most popular topics in both academia and industry, can achieve remarkable performance with sufficient training data. However, the annotation costs of scene text detection are huge with traditional labeling me
Externí odkaz:
http://arxiv.org/abs/2012.05030
Recent end-to-end trainable methods for scene text spotting, integrating detection and recognition, showed much progress. However, most of the current arbitrary-shape scene text spotters use region proposal networks (RPN) to produce proposals. RPN re
Externí odkaz:
http://arxiv.org/abs/2007.09482
Autor:
Liu, Xi, Zhang, Rui, Zhou, Yongsheng, Jiang, Qianyi, Song, Qi, Li, Nan, Zhou, Kai, Wang, Lei, Wang, Dong, Liao, Minghui, Yang, Mingkun, Bai, Xiang, Shi, Baoguang, Karatzas, Dimosthenis, Lu, Shijian, Jawahar, C. V.
Chinese scene text reading is one of the most challenging problems in computer vision and has attracted great interest. Different from English text, Chinese has more than 6000 commonly used characters and Chinesecharacters can be arranged in various
Externí odkaz:
http://arxiv.org/abs/1912.09641
Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text. However, the post-processing of binarization is essential for se
Externí odkaz:
http://arxiv.org/abs/1911.08947
Unifying text detection and text recognition in an end-to-end training fashion has become a new trend for reading text in the wild, as these two tasks are highly relevant and complementary. In this paper, we investigate the problem of scene text spot
Externí odkaz:
http://arxiv.org/abs/1908.08207
Autor:
Yang, MingKun, Guan, Yushuo, Liao, Minghui, He, Xin, Bian, Kaigui, Bai, Song, Yao, Cong, Bai, Xiang
Reading text in the wild is a very challenging task due to the diversity of text instances and the complexity of natural scenes. Recently, the community has paid increasing attention to the problem of recognizing text instances with irregular shapes.
Externí odkaz:
http://arxiv.org/abs/1908.01957
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
With the development of deep neural networks, the demand for a significant amount of annotated training data becomes the performance bottlenecks in many fields of research and applications. Image synthesis can generate annotated images automatically
Externí odkaz:
http://arxiv.org/abs/1907.06007
Autor:
Liao, Minghui, Zhang, Jian, Wan, Zhaoyi, Xie, Fengming, Liang, Jiajun, Lyu, Pengyuan, Yao, Cong, Bai, Xiang
Inspired by speech recognition, recent state-of-the-art algorithms mostly consider scene text recognition as a sequence prediction problem. Though achieving excellent performance, these methods usually neglect an important fact that text in images ar
Externí odkaz:
http://arxiv.org/abs/1809.06508