212 citations · 1.3k across the 45 of their papers we have counts for
42 papers · 1 filter
Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition
Cheng Da, Peng Wang, Cong Yao
Due to the enormous technical challenges and wide range of applications, scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this…
Conditional Text Image Generation with Diffusion Models
Yuanzhi Zhu, Zhaohai Li, Tianwei Wang +2
Current text recognition systems, including those for handwritten scripts and scene text, have relied heavily on image synthesis and augmentation, since it is difficult to realize…
Modeling Entities as Semantic Points for Visual Information Extraction in the Wild
Zhibo Yang, Rujiao Long, Pengfei Wang +5
Recently, Visual Information Extraction (VIE) has been becoming increasingly important in both the academia and industry, due to the wide range of real-world applications. Previous…
Multi-Granularity Prediction for Scene Text Recognition
Peng Wang, Cheng Da, Cong Yao
Scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this challenging problem, numerous innovative methods have been successively…
Levenshtein OCR
Cheng Da, Peng Wang, Cong Yao
A novel scene text recognizer based on Vision-Language Transformer (VLT) is presented. Inspired by Levenshtein Transformer in the area of NLP, the proposed method (named Levenshtei…
Vision-Language Pre-Training for Boosting Scene Text Detectors
Sibo Song, Jianqiang Wan, Zhibo Yang +4
Recently, vision-language joint representation learning has proven to be highly effective in various scenarios. In this paper, we specifically adapt vision-language joint learning…
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
Minghui Liao, Zhisheng Zou, Zhaoyi Wan +2
Recently, segmentation-based scene text detection methods have drawn extensive attention in the scene text detection field, because of their superiority in detecting the text insta…
ARTS: Eliminating Inconsistency between Text Detection and Recognition with Auto-Rectification Text Spotter
Humen Zhong, Jun Tang, Wenhai Wang +3
Recent approaches for end-to-end text spotting have achieved promising results. However, most of the current spotters were plagued by the inconsistency problem between text detecti…
Facial Attribute Transformers for Precise and Robust Makeup Transfer
Zhaoyi Wan, Haoran Chen, Jielei Zhang +3
In this paper, we address the problem of makeup transfer, which aims at transplanting the makeup from the reference face to the source face while preserving the identity of the sou…
MOST: A Multi-Oriented Scene Text Detector with Localization Refinement
Minghang He, Minghui Liao, Zhibo Yang +6
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 m…
Slender Object Detection: Diagnoses and Improvements
Zhaoyi Wan, Yimin Chen, Sutao Deng +3
In this paper, we are concerned with the detection of a particular type of objects with extreme aspect ratios, namely \textbf{slender objects}. In real-world scenarios, slender obj…
On Vocabulary Reliance in Scene Text Recognition
Zhaoyi Wan, Jielei Zhang, Liang Zhang +2
The pursuit of high performance on public benchmarks has been the driving force for research in scene text recognition, and notable progress has been achieved. However, a close inv…
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
Shangbang Long, Cong Yao
Synthetic data has been a critical tool for training scene text detection and recognition models. On the one hand, synthetic word images have proven to be a successful substitute f…
A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling
Shangbang Long, Yushuo Guan, Kaigui Bian +1
Irregular scene text recognition has attracted much attention from the research community, mainly due to the complexity of shapes of text in natural scene. However, recent methods…
TextScanner: Reading Characters in Order for Robust Scene Text Recognition
Zhaoyi Wan, Minghang He, Haoran Chen +2
Driven by deep learning and the large volume of data, scene text recognition has evolved rapidly in recent years. Formerly, RNN-attention based methods have dominated this field, b…
Real-time Scene Text Detection with Differentiable Binarization
Minghui Liao, Zhaoyi Wan, Cong Yao +2
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…
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Minghui Liao, Pengyuan Lyu, Minghang He +3
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 compl…
Symmetry-constrained Rectification Network for Scene Text Recognition
MingKun Yang, Yushuo Guan, Minghui Liao +5
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 attenti…
Rethinking Irregular Scene Text Recognition
Shangbang Long, Yushuo Guan, Bingxuan Wang +2
Reading text from natural images is challenging due to the great variety in text font, color, size, complex background and etc.. The perspective distortion and non-linear spatial a…
2D-CTC for Scene Text Recognition
Zhaoyi Wan, Fengming Xie, Yibo Liu +2
Scene text recognition has been an important, active research topic in computer vision for years. Previous approaches mainly consider text as 1D signals and cast scene text recogni…
SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds
Minghui Liao, Boyu Song, Shangbang Long +3
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 appl…
Intra-Ensemble in Neural Networks
Yuan Gao, Zixiang Cai, Lei Yu
Improving model performance is always the key problem in machine learning including deep learning. However, stand-alone neural networks always suffer from marginal effect when stac…
Scene Text Detection with Supervised Pyramid Context Network
Enze Xie, Yuhang Zang, Shuai Shao +3
Scene text detection methods based on deep learning have achieved remarkable results over the past years. However, due to the high diversity and complexity of natural scenes, previ…
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long, Xin He, Cong Yao
With the rise and development of deep learning, computer vision has been tremendously transformed and reshaped. As an important research area in computer vision, scene text detecti…