Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xianggong Hong"'
Publikováno v:
Sensors, Vol 24, Iss 22, p 7197 (2024)
A new algorithm called YOLO-APDM is proposed to address low quality and multi-scale target detection issues in infrared road scenes. The method reconstructs the neck section of the algorithm using the multi-scale attentional feature fusion idea. Base
Externí odkaz:
https://doaj.org/article/e6bde93ec0744fa88988fa215d977884
Publikováno v:
IEEE Access, Vol 7, Pp 24248-24257 (2019)
The application of unmanned aerial vehicles (UAVs) is promising to improve the energy harvesting (EH) efficiency of simultaneous wireless and information and power transfer (SWIPT) system. However, the secure communications are challenging in UAV-ass
Externí odkaz:
https://doaj.org/article/96f778e6e2f94d67b308ad1d6b3485a7
Publikováno v:
ACM Transactions on Internet Technology. 20:1-23
The improvement of coverage quality in the construction of multiple-barrier coverage is a critical problem in a wireless sensor network. In this article, we investigate the K -barrier coverage construction problem in passive bistatic radar sensor net
SSD (Single Shot Multibox Detector) is one of the most successful object detectors for its high accuracy and fast speed. However, the features from shallow layer (mainly Conv4_3) of SSD lack semantic information, resulting in poor performance in smal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82eaed19fa36d9f8129edc0504f95da9
http://arxiv.org/abs/2108.11101
http://arxiv.org/abs/2108.11101
Small objects have relatively low resolution, the unobvious visual features which are difficult to be extracted, so the existing object detection methods cannot effectively detect small objects, and the detection speed and stability are poor. Thus, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a141506c70ea673328749e5f387f6e4
http://arxiv.org/abs/2108.10503
http://arxiv.org/abs/2108.10503
Autor:
Hao Zhang, Xianggong Hong
Publikováno v:
Multimedia Tools and Applications. 78:27809-27847
Object detection, aiming at locating objects from a large number of specific categories in natural images, is a fundamental but challenging task in the field of computer vision. Recent years have seen significant progress of object detection using de
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030316532
PRCV (1)
PRCV (1)
Infrared image segmentation is the basis of error detection for photovoltaic panels. In this work, the infrared image data are collected by infrared thermal imager from the view of unmanned aerial vehicle (UAV). A semantic segmentation neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85364054538b440d63d998464c0fd78a
https://doi.org/10.1007/978-3-030-31654-9_52
https://doi.org/10.1007/978-3-030-31654-9_52
Publikováno v:
ACM Transactions on Internet Technology; Aug2020, Vol. 20 Issue 3, p1-23, 23p