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1Light Transport Induced Domain Adaptation for Semantic Segmentation in Thermal Infrared Urban Scenes
المؤلفون: Junzhang Chen, Zichao Liu, Darui Jin, Yuanyuan Wang, Fan Yang, Xiangzhi Bai
المصدر: IEEE Transactions on Intelligent Transportation Systems. 23:23194-23211
مصطلحات موضوعية: Mechanical Engineering, Automotive Engineering, Computer Science Applications
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::8457e56b63d3ccaa404b6fb795337704Test
https://doi.org/10.1109/tits.2022.3194931Test -
2
المؤلفون: Xiangzhi Bai, Heng Sun, Junzhang Chen, Yanguang Bi
المصدر: IEEE Transactions on Aerospace and Electronic Systems. 56:2422-2436
مصطلحات موضوعية: 020301 aerospace & aeronautics, business.industry, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Aerospace Engineering, Pattern recognition, 02 engineering and technology, Derivative, Directional derivative, Tracking (particle physics), Object detection, Convolution, Image (mathematics), 0203 mechanical engineering, Clutter, Artificial intelligence, Electrical and Electronic Engineering, business, Optical filter
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::dee3a4de241bbc40db9e6d0a64797134Test
https://doi.org/10.1109/taes.2019.2946678Test -
3
المؤلفون: Xiangzhi Bai, Miaoming Liu, Chao Yang, Mengyao Lyu, Xing Wang, Junzhang Chen, Fugen Zhou
المصدر: IEEE Access, Vol 7, Pp 84182-84196 (2019)
مصطلحات موضوعية: General Computer Science, Contextual image classification, Computer science, business.industry, Detector, Feature extraction, General Engineering, Image registration, Pattern recognition, interest point detection, Weighted median, Blob detection, Facial recognition system, Interest point detection, image registration, Filter (video), Laplacian of Gaussian filter, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, business, lcsh:TK1-9971
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffce15b42a38cdf967d0f18ec2a350b4Test
https://doi.org/10.1109/access.2019.2924238Test