Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zimeng Huang"'
Publikováno v:
IEEE Access, Vol 9, Pp 47230-47242 (2021)
Aiming at the problem of spatial information loss in the semantic segmentation process, we propose a semantic segmentation network, termed the ventral and dorsal network (VDNet), which simulates the ventral and dorsal pathways of the cerebral visual
Externí odkaz:
https://doaj.org/article/c291198feb0b4edaa4382a67a62d1354
Autor:
Shuyi Xie, Huixia Feng, Zimeng Huang, Jiří Jaromír Klemeš, Jianqin Zheng, Petar Sabev Varbanov, Hrvoje Mikulčić, Bohong Wang
Publikováno v:
Optimization and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa2cf1469e605b00bda0901286d79cbd
https://doi.org/10.1007/s11081-023-09804-0
https://doi.org/10.1007/s11081-023-09804-0
Publikováno v:
2022 Asian Conference on Frontiers of Power and Energy (ACFPE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::157d2e31219ad9d086b4518fe157f981
https://doi.org/10.1109/acfpe56003.2022.9952185
https://doi.org/10.1109/acfpe56003.2022.9952185
Publikováno v:
Applied Intelligence. 52:3319-3336
Semantic segmentation is used in many fields, and most fields not only require models with high-quality predictions but also require real-time speed in the forward inference phase. Therefore, our goal is to perform high-quality real-time semantic seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8067a8ecbd41403d94a4e7a2232af0e8
https://doi.org/10.1007/s10489-021-02603-z
https://doi.org/10.1007/s10489-021-02603-z
Training deep learning (DL) models in the cloud has become a norm. With the emergence of serverless computing and its benefits of true pay-as-you-go pricing and scalability, systems researchers have recently started to provide support for serverless-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::215969f8395d52080d9b1ad5b1f4dfe8
http://arxiv.org/abs/2204.13561
http://arxiv.org/abs/2204.13561
