Scene text detection and recognition: a survey
Scene text detection and recognition have been given a lot of attention in recent years and
have been used in many vision-based applications. In this field, there are various types of …
have been used in many vision-based applications. In this field, there are various types of …
Text detection and recognition in the wild: A review
Detection and recognition of text in natural images are two main problems in the field of
computer vision that have a wide variety of applications in analysis of sports videos …
computer vision that have a wide variety of applications in analysis of sports videos …
Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation
SW Lee, HY Kim - expert systems with applications, 2020 - Elsevier
Forecasting stock market indexes is an important issue for market participants, because
even a small improvement in forecast accuracy may lead to better trading decisions than …
even a small improvement in forecast accuracy may lead to better trading decisions than …
Convolutional state space models for long-range spatiotemporal modeling
Effectively modeling long spatiotemporal sequences is challenging due to the need to model
complex spatial correlations and long-range temporal dependencies simultaneously …
complex spatial correlations and long-range temporal dependencies simultaneously …
A novel pipeline framework for multi oriented scene text image detection and recognition
Automatic text detection and recognition (end-to-end text recognition) in real-life images are
the main elements of many applications including blind and low vision assistance systems …
the main elements of many applications including blind and low vision assistance systems …
Sgbanet: Semantic gan and balanced attention network for arbitrarily oriented scene text recognition
D Zhong, S Lyu, P Shivakumara, B Yin, J Wu… - European conference on …, 2022 - Springer
Scene text recognition is a challenging task due to the complex backgrounds and diverse
variations of text instances. In this paper, we propose a novel Semantic GAN and Balanced …
variations of text instances. In this paper, we propose a novel Semantic GAN and Balanced …
Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction
Y Liang, Y Wu, Z Zhang, N Liu, J Peng, J Tang - BMC bioinformatics, 2022 - Springer
Background DNA N4-methylcytosine is part of the restrictive modification system, which
works by regulating some biological processes, for example, the initiation of DNA …
works by regulating some biological processes, for example, the initiation of DNA …
SEACU-Net: Attentive ConvLSTM U-Net with squeeze-and-excitation layer for skin lesion segmentation
X Jiang, J Jiang, B Wang, J Yu, J Wang - Computer methods and programs …, 2022 - Elsevier
Abstract Background and Objective Accurate segmentation of skin lesions is a pivotal step in
dermoscopy image classification, which provides a powerful means for dermatologists to …
dermoscopy image classification, which provides a powerful means for dermatologists to …
Vision-based hand signal recognition in construction: A feasibility study
X Wang, Z Zhu - Automation in Construction, 2021 - Elsevier
In construction fields, it is common for workers to rely on hand signals to communicate and
express thoughts due to their simple but effective nature. However, the meaning of these …
express thoughts due to their simple but effective nature. However, the meaning of these …
Text proposals with location-awareness-attention network for arbitrarily shaped scene text detection and recognition
D Zhong, S Lyu, P Shivakumara, U Pal, Y Lu - Expert Systems with …, 2022 - Elsevier
Unlike existing models that aim to address the challenge of scene text detection and
recognition separately, the proposed work aims to address both text detection and …
recognition separately, the proposed work aims to address both text detection and …