|
|
|
|
|
Jihyoung Ryu and Yeongmin Jang
Convolution neural networks have received much interest recently in the categorization of hyperspectral images (HSI). Deep learning requires a large number of labeled samples in order to optimize numerous parameters due to the expansion of architecture d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qian Zhang, Jie Ren, Hong Liang, Ying Yang and Lu Chen
Small object detection becomes a challenging problem in computer vision due to low resolution and less feature information. Making full use of high-resolution features is an important factor in improving small object detection. In this paper, to improve ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huapeng Tang, Danyang Qin, Jiaqiang Yang, Haoze Bie, Yue Li, Yong Zhu and Lin Ma
In indoor low-light environments, the lack of light makes the captured images often suffer from quality degradation problems, including missing features in dark areas, noise interference, low brightness, and low contrast. Therefore, the feature extractio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Oleksandr Yudin,Ruslana Ziubina,Serhii Buchyk,Olena Matviichuk-Yudina,Olha Suprun,Viktoriia Ivannikova
Pág. 56 - 64
Methods for verifying and identifying the operator by the features of the formation of biometric features of a speech signal in control systems of unmanned aerial systems are proposed.A method has been developed for the effective width of the spectrum of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Feng Peng and Kai Li
Most existing deep image clustering methods use only class-level representations for clustering. However, the class-level representation alone is not sufficient to describe the differences between images belonging to the same cluster. This may lead to hi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhongchang Ye, Xin Ye and Zhonghua Zhao
Intelligent video surveillance (IVS) technology is widely used in various security systems. However, quality degradation in surveillance images (SIs) may affect its performance on vision-based tasks, leading to the difficulties in the IVS system extracti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingge Ji, Jie Huang, Wenjie He and Yankui Sun
Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale natural images may not be suitable for medical images due to the intrinsic difference between the datasets. We propose a strategy to modify DNNs, which improves their p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaohu Zhang and Haifeng Huang
Crack detection is an important task for road maintenance. Currently, convolutional neural-network-based segmentation models with attention blocks have achieved promising results, for the reason that these models can avoid the interference of lights and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weidong Wu, Hongbo Fan, Yu Fan and Jian Wen
The accurate segmentation of colorectal polyps is of great significance for the diagnosis and treatment of colorectal cancer. However, the segmentation of colorectal polyps faces complex problems such as low contrast in the peripheral region of salient i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sofía Ramos-Pulido, Neil Hernández-Gress and Gabriela Torres-Delgado
This study shows the significant features predicting graduates? job levels, particularly high-level positions. Moreover, it shows that data science methodologies can accurately predict graduate outcomes. The dataset used to analyze graduate outcomes was ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingtian Ke and Peng Zhang
Existing optical remote sensing image change detection (CD) methods aim to learn an appropriate discriminate decision by analyzing the feature information of bitemporal images obtained at the same place. However, the complex scenes in high-resolution (HR...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ana Me?trovic, Milan Petrovic and Slobodan Beliga
Retweet prediction is an important task in the context of various problems, such as information spreading analysis, automatic fake news detection, social media monitoring, etc. In this study, we explore retweet prediction based on heterogeneous data sour...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jimmy Moedjahedy, Arief Setyanto, Fawaz Khaled Alarfaj and Mohammed Alreshoodi
Internet users are continually exposed to phishing as cybercrime in the 21st century. The objective of phishing is to obtain sensitive information by deceiving a target and using the information for financial gain. The information may include a login det...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alyaa Amer, Tryphon Lambrou and Xujiong Ye
The advanced development of deep learning methods has recently made significant improvements in medical image segmentation. Encoder?decoder networks, such as U-Net, have addressed some of the challenges in medical image segmentation with an outstanding p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiajia Sheng, Youqiang Sun, He Huang, Wenyu Xu, Haotian Pei, Wei Zhang and Xiaowei Wu
Cropland extraction has great significance in crop area statistics, intelligent farm machinery operations, agricultural yield estimates, and so on. Semantic segmentation is widely applied to remote sensing image cropland extraction. Traditional semantic ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuai Liu and Jialan Tang
Small object detection in very-high-resolution (VHR) optical remote sensing images is a fundamental but challenaging problem due to the latent complexities. To tackle this problem, the MdrlEcf model is proposed by modifying deep reinforcement learning (D...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shaojun Wu and Ling Gao
In person re-identification, extracting image features is an important step when retrieving pedestrian images. Most of the current methods only extract global features or local features of pedestrian images. Some inconspicuous details are easily ignored ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yutian Wu, Shuming Tang, Shuwei Zhang and Harutoshi Ogai
Feature Pyramid Network (FPN) builds a high-level semantic feature pyramid and detects objects of different scales in corresponding pyramid levels. Usually, features within the same pyramid levels have the same weight for subsequent object detection, whi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ireneusz Kubiak
Computer fonts can be a solution that supports the protection of information against electromagnetic penetration; however, not every font has features that counteract this process. The distinctive features of a font?s characters define the font. This art...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yingxiang Zhao, Lumei Zhou, Xiaoli Wang, Fan Wang and Gang Shi
Cracks are a common type of road distress. However, the traditional manual and vehicle-borne methods of detecting road cracks are inefficient, with a high rate of missed inspections. The development of unmanned aerial vehicles (UAVs) and deep learning ha...
ver más
|
|
|
|
|
|