We present PBFormer, an efficient yet powerful scene text detector that
...
Text recognition methods are gaining rapid development. Some advanced
te...
Large Language Models (LLMs) have demonstrated exceptional performance i...
Reading seal title text is a challenging task due to the variable shapes...
Table structure recognition aims to extract the logical and physical
str...
In this paper, to deal with the heterogeneity in federated learning (FL)...
Word-level textual adversarial attacks have achieved striking performanc...
Multiple-input multiple-output and orthogonal frequency-division multipl...
On-demand service provisioning is a critical yet challenging issue in 6G...
This work considers a challenging Deep Neural Network (DNN) quantization...
The field of adversarial textual attack has significantly grown over the...
Over the past few years, various word-level textual attack approaches ha...
Exploration in environments with sparse feedback remains a challenging
r...
This paper presents a meta-learning based, automatic distribution system...
Deep learning-based scene text detection can achieve preferable performa...
Computer vision with state-of-the-art deep learning models has achieved ...
This paper presents a novel, automated, generative adversarial networks ...
Attention based scene text recognizers have gained huge success, which
l...