Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Jinzhen Mu"'
Publikováno v:
IET Computer Vision, Vol 17, Iss 4, Pp 431-444 (2023)
Abstract Efficient and accurate semantic segmentation is crucial for autonomous driving scene parsing. Capturing detailed information and semantic information efficiently through two‐branch networks has been widely utilised in real‐time semantic
Externí odkaz:
https://doaj.org/article/c958317d27fa4cbe87e790f9709b638c
Publikováno v:
IEEE Access, Vol 10, Pp 48855-48864 (2022)
Restricted by the cost of generating labels for training, semi-supervised methods have been applied to semantic segmentation tasks and have achieved varying degrees of success. Recently, the semi-supervised learning method has taken pseudo supervisio
Externí odkaz:
https://doaj.org/article/69095fad4c4b48e58d20705f5f4beba9
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3037-3052 (2021)
Abstract Detecting small objects are difficult because of their poor‐quality appearance and small size, and such issues are especially pronounced for aerial images of great importance. To address the small object detection (SOD) problem, a united a
Externí odkaz:
https://doaj.org/article/a845a1a0718b4522b699baeca87e1272
Publikováno v:
IET Image Processing, Vol 15, Iss 8, Pp 1607-1616 (2021)
Abstract Enhancing network feature representation capabilities and reducing the loss of image details have become the focus of semantic segmentation task. This work proposes the bilateral attention network for semantic segmentation. The authors embed
Externí odkaz:
https://doaj.org/article/9d90ff17f44a476a80fbd6da62cd85b9
Publikováno v:
Space: Science & Technology, Vol 2022 (2022)
The space environment has become highly congested due to the increasing space debris, seriously threatening the safety of orbiting spacecraft. Space-based situational awareness, as a comprehensive capability of threat knowledge, analysis, and decisio
Externí odkaz:
https://doaj.org/article/9bf7c73a36644f228530c921cb14f4e1
Autor:
Wenshan Zhu, Jinzhen Mu, Changbao Shao, Jiaqian Hu, Beichao Wang, Zhongkai Wen, Fei Han, Shuang Li
Publikováno v:
Space: Science & Technology, Vol 2022 (2022)
The pose determination between nanosatellites and the cooperative spacecraft is essential for swarm in-orbit services. Time-of–flight (ToF) sensors are one of the most promising sensors to achieve the tasks. This paper presented an end-to-end asses
Externí odkaz:
https://doaj.org/article/db6d0db3319647cc9d901e4a5a0c3a5b
Publikováno v:
Sensors, Vol 22, Iss 12, p 4477 (2022)
Contextual information and the dependencies between dimensions is vital in image semantic segmentation. In this paper, we propose a multiple-attention mechanism network (MANet) for semantic segmentation in a very effective and efficient way. Concrete
Externí odkaz:
https://doaj.org/article/0e1b9a067f1e4924b504935f4510cffb
Publikováno v:
Sensors, Vol 22, Iss 9, p 3349 (2022)
Object detection is one of the key tasks in an automatic driving system. Aiming to solve the problem of object detection, which cannot meet the detection speed and detection accuracy at the same time, a real-time object detection algorithm (MobileYOL
Externí odkaz:
https://doaj.org/article/be7c0f3960474ca6b5537415843e682d
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11630 (2021)
Object detection is one of the key algorithms in automatic driving systems. Aiming at addressing the problem of false detection and the missed detection of both small and occluded objects in automatic driving scenarios, an improved Faster-RCNN object
Externí odkaz:
https://doaj.org/article/5b9c1f2a0907454f861fb8b033796513
Publikováno v:
IEEE Transactions on Cybernetics. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::148b46e2001338e4b87d87b3e8e5d3b0
https://doi.org/10.1109/tcyb.2023.3267773
https://doi.org/10.1109/tcyb.2023.3267773