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Real-time Processing of Image, Depth and Video Information 2023最新文献

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Front Matter: Volume 12571 前题:卷12571
Pub Date : 2023-06-21 DOI: 10.1117/12.2688374
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引用次数: 0
Sensor-guided robotics: progress and industry needs 传感器引导机器人技术:进展与工业需求
Pub Date : 2023-06-08 DOI: 10.1117/12.2672327
K. Khodabandehloo
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引用次数: 0
AI and deep learning for microscopy 人工智能和显微镜的深度学习
Pub Date : 2023-06-08 DOI: 10.1117/12.2675320
Giovanni Volpe
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引用次数: 0
Machine learning application benchmarking on COTS inference processors 基于COTS推理处理器的机器学习应用基准测试
Pub Date : 2023-06-08 DOI: 10.1117/12.2665180
Benjamin Hülsen, R. Sonsalla, Jakob Wehnes, M. Schilling, Michael Zipper, Pierre Willenbrock, Christoph Haskamp, Dennis M. Hofmann, G. Furano
The objective of the MaLeBeCo project is to build a test-bed allowing the comparison and benchmarking of machine learning applications for low-, midand high-performance architectures. This is of particular interest, in order to be able to cover the wide application area which is given by the different mission scenarios and use-cases. These use-cases include among other: the provision of pre-processed smart payload data, guidance navigation and control (GNC) for satellites as well as robots, onboard AI for an increased level of autonomy, intelligent data exploration algorithms, as well as AI in operations on ground or in orbit.
MaLeBeCo项目的目标是建立一个测试平台,允许对低、中、高性能架构的机器学习应用程序进行比较和基准测试。这是特别有趣的,以便能够覆盖由不同任务场景和用例提供的广泛应用领域。这些用例包括:提供预处理的智能有效载荷数据、卫星和机器人的制导导航和控制(GNC)、提高自主水平的机载人工智能、智能数据探索算法,以及地面或在轨操作中的人工智能。
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引用次数: 1
期刊
Real-time Processing of Image, Depth and Video Information 2023
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