33 citations · 123 across the 26 of their papers we have counts for
8 papers · 1 filter
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…
Object-QA: Towards High Reliable Object Quality Assessment
Jing Lu, Baorui Zou, Zhanzhan Cheng +4
In object recognition applications, object images usually appear with different quality levels. Practically, it is very important to indicate object image qualities for better appl…
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding
Peng Zhang, Yunlu Xu, Zhanzhan Cheng +5
Since real-world ubiquitous documents (e.g., invoices, tickets, resumes and leaflets) contain rich information, automatic document image understanding has become a hot topic. Most…
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng +4
Arbitrary text appearance poses a great challenge in scene text recognition tasks. Existing works mostly handle with the problem in consideration of the shape distortion, including…
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
Zhanzhan Cheng, Yunlu Xu, Mingjian Cheng +4
Recurrent neural network (RNN) has been widely studied in sequence learning tasks, while the mainstream models (e.g., LSTM and GRU) rely on the gating mechanism (in control of how…
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
Liang Qiao, Sanli Tang, Zhanzhan Cheng +4
Many approaches have recently been proposed to detect irregular scene text and achieved promising results. However, their localization results may not well satisfy the following te…