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pro vyhledávání: '"Dai Zhongjian"'
Many current works directly adopt multi-rate depth-wise dilated convolutions to capture multi-scale contextual information simultaneously from one input feature map, thus improving the feature extraction efficiency for real-time semantic segmentation
Externí odkaz:
http://arxiv.org/abs/2212.01173
Real-time semantic segmentation has played an important role in intelligent vehicle scenarios. Recently, numerous networks have incorporated information from multi-size receptive fields to facilitate feature extraction in real-time semantic segmentat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b867b42042ae73996a009064d87d2cd6
Autor:
Dai Zhongjian, Li Yajing
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Publikováno v:
2019 Chinese Control And Decision Conference (CCDC).
This paper proposes a new combined prediction model for short-term wind speed prediction. The article uses Numerical Weather Prediction (NWP) and actual wind speed as input to the CNN_GRU model. The normalization method is used to solve the problem o
Publikováno v:
2013 Third International Conference on Instrumentation, Measurement, Computer, Communication & Control; 2013, p1646-1649, 4p
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