7 citations · 25 across the 10 of their papers we have counts for
13 papers
C3-STISR: Scene Text Image Super-resolution with Triple Clues
Minyi Zhao, Miao Wang, Fan Bai +3
Scene text image super-resolution (STISR) has been regarded as an important pre-processing task for text recognition from low-resolution scene text images. Most recent approaches u…
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
Minyi Zhao, Lu Zhang, Yi Xu +3
Recent works have empirically shown the effectiveness of data augmentation (DA) in NLP tasks, especially for those suffering from data scarcity. Intuitively, given the size of gene…
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu, Jiandong Ding, Lu Zhang +1
The scarcity of labeled data is a critical obstacle to deep learning. Semi-supervised learning (SSL) provides a promising way to leverage unlabeled data by pseudo labels. However,…
Weakly-supervised Text Classification Based on Keyword Graph
Lu Zhang, Jiandong Ding, Yi Xu +2
Weakly-supervised text classification has received much attention in recent years for it can alleviate the heavy burden of annotating massive data. Among them, keyword-driven metho…
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction
Minyi Zhao, Yi Xu, Shuigeng Zhou
A number of deep learning based algorithms have been proposed to recover high-quality videos from low-quality compressed ones. Among them, some restore the missing details of each…
ICDAR 2021 Competition on Scene Video Text Spotting
Zhanzhan Cheng, Jing Lu, Baorui Zou +2
Scene video text spotting (SVTS) is a very important research topic because of many real-life applications. However, only a little effort has put to spotting scene video text, in c…