Deep reinforcement learning in computer vision: a comprehensive survey

N Le, VS Rathour, K Yamazaki, K Luu… - Artificial Intelligence …, 2022 - Springer
Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

Recent advances in convolutional neural networks

J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai… - Pattern recognition, 2018 - Elsevier
In the last few years, deep learning has led to very good performance on a variety of
problems, such as visual recognition, speech recognition and natural language processing …

Recent advances in deep learning techniques and its applications: an overview

A Hazra, P Choudhary, M Sheetal Singh - Advances in Biomedical …, 2021 - Springer
Learning with images and their classification, segmentation, localization, annotation, and
abnormally detection is one of the current challenging and exciting task for the researchers …

Could scene context be beneficial for scene text detection?

A Zhu, R Gao, S Uchida - Pattern Recognition, 2016 - Elsevier
Scene text detection and scene segmentation are meaningful tasks in the computer vision
field. Could the semantic scene segmentation assist scene text detection in any degree? For …

[HTML][HTML] Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis

A Sharma, D Kumar - Scientific Reports, 2022 - nature.com
Breast cancer is the most common cancer in women. Classification of cancer/non-cancer
patients with clinical records requires high sensitivity and specificity for an acceptable …

Scene text detection and tracking in video with background cues

L Wang, Y Wang, S Shan, F Su - Proceedings of the 2018 ACM on …, 2018 - dl.acm.org
To detect scene text in the video is valuable to many content-based video applications. In
this paper, we present a novel scene text detection and tracking method for videos, which …

Active contour model in deep learning era: A revise and review

T Hoang Ngan Le, K Luu, CN Duong, KG Quach… - Applications of hybrid …, 2020 - Springer
Active Contour (AC)-based segmentation has been widely used to solve many image
processing problems, specially image segmentation. While these AC-based methods offer …

Deep learning in gene expression modeling

D Kumar, D Sharma - Handbook of Deep Learning Applications, 2019 - Springer
Developing computational intelligence algorithms for learning insights from data has been a
growing intellectual challenge. Much advances have already been made through data …

Classifying Early Blight and Late Blight of Potato Based on Convolution Neural Network

H Qi, Z Lin, Y Zhu, J Hao, Y Lan - Applied Engineering in …, 2022 - elibrary.asabe.org
Highlights A convolution neural network (CNN) model, called M_Net, was designed to
recognize early blight and late blight in potato. Our model achieves the highest accuracy …

Detecting text in natural scene images with conditional clustering and convolution neural network

A Zhu, G Wang, Y Dong… - Journal of Electronic …, 2015 - spiedigitallibrary.org
We present a robust method of detecting text in natural scenes. The work consists of four
parts. First, automatically partition the images into different layers based on conditional …