Deep reinforcement learning in computer vision: a comprehensive survey
Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …
the powerful representation of deep neural networks. Recent works have demonstrated the …
Recent advances in convolutional neural networks
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 …
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 …
abnormally detection is one of the current challenging and exciting task for the researchers …
Could scene context be beneficial for scene text detection?
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 …
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
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 …
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 …
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
Active Contour (AC)-based segmentation has been widely used to solve many image
processing problems, specially image segmentation. While these AC-based methods offer …
processing problems, specially image segmentation. While these AC-based methods offer …
Deep learning in gene expression modeling
Developing computational intelligence algorithms for learning insights from data has been a
growing intellectual challenge. Much advances have already been made through data …
growing intellectual challenge. Much advances have already been made through data …
Classifying Early Blight and Late Blight of Potato Based on Convolution Neural Network
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 …
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 …
parts. First, automatically partition the images into different layers based on conditional …