20 citations · 43 across the 12 of their papers we have counts for
12 papers
Scene Text Recognition with Single-Point Decoding Network
Lei Chen, Haibo Qin, Shi-Xue Zhang +2
In recent years, attention-based scene text recognition methods have been very popular and attracted the interest of many researchers. Attention-based methods can adaptively focus…
Arbitrary Shape Text Detection via Boundary Transformer
Shi-Xue Zhang, Chun Yang, Xiaobin Zhu +1
In arbitrary shape text detection, locating accurate text boundaries is challenging and non-trivial. Existing methods often suffer from indirect text boundary modeling or complex p…
Open-set Text Recognition via Character-Context Decoupling
Chang Liu, Chun Yang, Xu-Cheng Yin
The open-set text recognition task is an emerging challenge that requires an extra capability to cognize novel characters during evaluation. We argue that a major cause of the limi…
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…
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
Zhiyu Fang, Xiaobin Zhu, Chun Yang +3
Learning a common latent embedding by aligning the latent spaces of cross-modal autoencoders is an effective strategy for Generalized Zero-Shot Classification (GZSC). However, due…
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
Shi-Xue Zhang, Xiaobin Zhu, Chun Yang +2
Arbitrary shape text detection is a challenging task due to the high complexity and variety of scene texts. In this work, we propose a novel adaptive boundary proposal network for…
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
Song-Lu Chen, Shu Tian, Jia-Wei Ma +4
License plate detection is the first and essential step of the license plate recognition system and is still challenging in real applications, such as on-road scenarios. In particu…
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question Answering
Zan-Xia Jin, Heran Wu, Chun Yang +4
Text-based visual question answering (VQA) requires to read and understand text in an image to correctly answer a given question. However, most current methods simply add optical c…
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…
Semantic Bilinear Pooling for Fine-Grained Recognition
Xinjie Li, Chun Yang, Songlu Chen +2
Naturally, fine-grained recognition, e.g., vehicle identification or bird classification, has specific hierarchical labels, where fine categories are always harder to be classified…
Learning to Diversify via Weighted Kernels for Classifier Ensemble
Xu-Cheng Yin, Chun Yang, Hong-Wei Hao
Classifier ensemble generally should combine diverse component classifiers. However, it is difficult to give a definitive connection between diversity measure and ensemble accuracy…