Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Huahu Xu"'
Publikováno v:
Atmosphere, Vol 14, Iss 8, p 1274 (2023)
Prediction of air pollutant concentrations is currently one of the most important methods for the prevention and control of urban air pollution in most countries, and accurate and timely prediction of pollutant concentrations is of great significance
Externí odkaz:
https://doaj.org/article/a4fecf14517047c8a6f90dc02d2c51dc
Publikováno v:
Journal of Imaging, Vol 9, Iss 7, p 129 (2023)
Rain can have a detrimental effect on optical components, leading to the appearance of streaks and halos in images captured during rainy conditions. These visual distortions caused by rain and mist contribute significant noise information that can co
Externí odkaz:
https://doaj.org/article/0f14d222949e474597650744d4619c66
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-19 (2019)
Abstract Large-scale applications of Internet of things (IoT), which require considerable computing tasks and storage resources, are increasingly deployed in cloud environments. Compared with the traditional computing model, characteristics of the cl
Externí odkaz:
https://doaj.org/article/4e44b8b115dd45828714ff1570fd7c33
Publikováno v:
Future Internet, Vol 14, Iss 9, p 258 (2022)
Facial Expression Recognition (FER) can achieve an understanding of the emotional changes of a specific target group. The relatively small dataset related to facial expression recognition and the lack of a high accuracy of expression recognition are
Externí odkaz:
https://doaj.org/article/f7675c24392b4fbba8f023849836a498
Publikováno v:
Future Internet, Vol 14, Iss 2, p 50 (2022)
The real world is full of noisy labels that lead neural networks to perform poorly because deep neural networks (DNNs) are prone to overfitting label noise. Noise label training is a challenging problem relating to weakly supervised learning. The mos
Externí odkaz:
https://doaj.org/article/8f9b2ba7a0e1423e8c686a12ed2a11e2
Publikováno v:
Future Internet, Vol 13, Iss 11, p 289 (2021)
Person re-identification (Re-ID) has attracted attention due to its wide range of applications. Most recent studies have focused on the extraction of deep features, while ignoring color features that can remain stable, even for illumination variation
Externí odkaz:
https://doaj.org/article/ec78b8e37aa444bbae93d8ef15f17e15
Publikováno v:
Future Internet, Vol 13, Iss 11, p 290 (2021)
RGB–IR cross modality person re-identification (RGB–IR Re-ID) is an important task for video surveillance in poorly illuminated or dark environments. In addition to the common challenge of Re-ID, the large cross-modality variations between RGB an
Externí odkaz:
https://doaj.org/article/b28eea40d8a344c585c7657b81e6d421
Publikováno v:
Sensors, Vol 20, Iss 18, p 5279 (2020)
Language-based person search retrieves images of a target person using natural language description and is a challenging fine-grained cross-modal retrieval task. A novel hybrid attention network is proposed for the task. The network includes the foll
Externí odkaz:
https://doaj.org/article/b4754f0246e442f58fcbf669d982a800
Publikováno v:
Sensors, Vol 20, Iss 3, p 811 (2020)
As a result of its important role in video surveillance, pedestrian attribute recognition has become an attractive facet of computer vision research. Because of the changes in viewpoints, illumination, resolution and occlusion, the task is very chall
Externí odkaz:
https://doaj.org/article/b1c3f90a0750421ca8dfba672af6e47d
Publikováno v:
Journal of Imaging; Volume 9; Issue 7; Pages: 129
Rain can have a detrimental effect on optical components, leading to the appearance of streaks and halos in images captured during rainy conditions. These visual distortions caused by rain and mist contribute significant noise information that can co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::37ecfd51b58a8e9ef326c1fcc5eaeaf7