机译:基于深度神经网络的混合运动学习系统自动鱼类检测水下视频
Natl Univ Sci & Technol NUST Sch Elect Engn & Comp Sci Sect H-12 Islamabad 44000 Pakistan;
German Res Ctr Artificial Intelligence DFKI Trippstadter Str 122 D-67663 Kaiserslautern Germany;
Natl Univ Sci & Technol NUST Sch Elect Engn & Comp Sci Sect H-12 Islamabad 44000 Pakistan;
Univ Western Australia Sch Comp Sci & Software Engn 35 Stirling Highway Crawley WA 6009 Australia;
RMIT Univ Sch Sci GPO Box 2476 Melbourne Vic 3001 Australia;
Natl Univ Sci & Technol NUST Sch Elect Engn & Comp Sci Sect H-12 Islamabad 44000 Pakistan;
RheinMain Univ Appl Sci Fac Design Comp Sci Media DCSM Unter Eichen 5 D-65195 Wiesbaden Germany;
RheinMain Univ Appl Sci Fac Design Comp Sci Media DCSM Unter Eichen 5 D-65195 Wiesbaden Germany;
deep learning; fish assemblage; fish detection; fisheries management; neural networks; stock assessment; underwater video;
机译:水下视频中的鱼种自动分类:利用预先训练的深度神经网络模型来补偿有限的标记数据
机译:改进了水下视频中鱼细分的深层学习框架
机译:基于深度学习的Live视频自动检测来自LIVE - LEGE的
机译:有监督机器学习在水下视频中对珊瑚礁鱼的检测和识别:深度学习与HOG + SVM方法的比较
机译:使用深度学习卷积神经网络框架的特征工程技术在视频中检测视频
机译:利用深度卷积神经网络的转移学习自动咽期吞咽研究中的自动咽部识别研究
机译:基于深度神经网络的混合运动学习系统自动鱼类检测水下视频