239 citations · 722 across the 38 of their papers we have counts for
10 papers · 1 filter
HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces
Yang Liu, Xu Tang, Xiang Wu +3
Current face detectors utilize anchors to frame a multi-task learning problem which combines classification and bounding box regression. Effective anchor design and anchor matching…
ACFNet: Attentional Class Feature Network for Semantic Segmentation
Fan Zhang, Yanqin Chen, Zhihang Li +5
Recent works have made great progress in semantic segmentation by exploiting richer context, most of which are designed from a spatial perspective. In contrast to previous works, w…
EATEN: Entity-aware Attention for Single Shot Visual Text Extraction
He guo, Xiameng Qin, Jiaming Liu +3
Extracting entity from images is a crucial part of many OCR applications, such as entity recognition of cards, invoices, and receipts. Most of the existing works employ classical d…
ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT
Yipeng Sun, Zihan Ni, Chee-Kheng Chng +9
Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in such a challenging scenario heavi…
ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)
Chee-Kheng Chng, Yuliang Liu, Yipeng Sun +11
This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recogn…
Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning
Yipeng Sun, Jiaming Liu, Wei Liu +3
Most existing text reading benchmarks make it difficult to evaluate the performance of more advanced deep learning models in large vocabularies due to the limited amount of trainin…
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning
Pengfei Wang, Chengquan Zhang, Fei Qi +6
Detecting scene text of arbitrary shapes has been a challenging task over the past years. In this paper, we propose a novel segmentation-based text detector, namely SAST, which emp…
Editing Text in the Wild
Liang Wu, Chengquan Zhang, Jiaming Liu +4
In this paper, we are interested in editing text in natural images, which aims to replace or modify a word in the source image with another one while maintaining its realistic look…
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Jie Cao, Huaibo Huang, Yi Li +3
Despite that the performance of image-to-image translation has been significantly improved by recent progress in generative models, current methods still suffer from severe degrada…
PyramidBox++: High Performance Detector for Finding Tiny Face
Zhihang Li, Xu Tang, Junyu Han +2
With the rapid development of deep convolutional neural network, face detection has made great progress in recent years. WIDER FACE dataset, as a main benchmark, contributes greatl…