Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zhuoyao Zhong"'
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 22:315-327
The anchor mechanism of Faster R-CNN and SSD framework is considered not effective enough to scene text detection, which can be attributed to its Intersection-over-Union-based matching criterion between anchors and ground-truth boxes. In order to bet
Publikováno v:
Pattern Recognition. 77:395-411
Chinese font recognition (CFR) has gained significant attention in recent years. However, due to the sparsity of labeled font samples and the structural complexity of Chinese characters, CFR is still a challenging task. In this paper, a DropRegion me
Publikováno v:
ICDAR
With the recent success of convolutional neural network (CNN) based text detection approaches, designing better CNN-based text detection frameworks has become a major research focus to improve text detection accuracy. In this paper, instead of follow
Publikováno v:
ICDAR
In this paper, a new relation network based approach to curved text detection is proposed by formulating it as a visual relationship detection problem. The key idea is to decompose curved text detection into two subproblems, namely detection of text
Publikováno v:
WACV
In this paper, we present a new Mask R-CNN based text detection approach which can robustly detect multi-oriented and curved text from natural scene images in a unified manner. To enhance the feature representation ability of Mask R-CNN for text dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ccdd1dfe9b9160090134d13f5e44e8f
http://arxiv.org/abs/1811.09058
http://arxiv.org/abs/1811.09058
Publikováno v:
Pattern Recognition. 111:107684
We introduce a new arbitrary-shaped text detection approach named ReLaText by formulating text detection as a visual relationship detection problem. To demonstrate the effectiveness of this new formulation, we start from using a “link” relationsh
Publikováno v:
Pattern Recognition. 96:106986
Although Faster R-CNN based text detection approaches have achieved promising results, their localization accuracy is not satisfactory in certain cases due to their sub-optimal bounding box regression based localization modules. In this paper, we add
Publikováno v:
ICFHR
Detecting handwritten text from images of whiteboards and handwritten notes is an important yet under-researched topic. In this paper, we propose a convolutional neural network (CNN) based approach to address this problem. First, to detect text insta
Publikováno v:
ICDAR
Although Faster R-CNN based approaches have achieved promising results for text detection, their localization accuracy is not satisfactory in certain cases. In this paper, we propose to use a LocNet to improve the localization accuracy of a Faster R-