中国科学院计算技术研究所机构知识库

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发表日期：2022

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	Decoupled R-CNN: Sensitivity-Specific Detector for Higher Accurate Localization 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 9, 页码: 6324-6336 作者:  Wang, Dong;  Shang, Kun;  Wu, Huaming;  Wang, Ce 收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07 Proposals  Detectors  Task analysis  Sensitivity  Object detection  Training  Feature extraction  Object detection  R-CNN  two-stage detection  decoupled sampling strategy  decoupled R-CNN
	Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems 期刊论文 JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 卷号: 128, 页码: 20 作者:  Choong, Benjamin Chen Ming;  Luo, Tao;  Liu, Cheng;  He, Bingsheng;  Zhang, Wei;  Zhou, Joey Tianyi 收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07 Artificial intelligence  Hardware-software co-design  Deep learning  Embedded systems  Emerging memory
	Singapore Government's Research, Innovation and Enterprise 2020 Plan (Advanced Manufacturing and Engineering domain)[A18A1b0045] 项目 项目编号: A18A1b0045, 资助机构: Singapore Government's Research, Innovation and Enterprise 2020 Plan (Advanced Manufacturing and Engineering domain), 2022- - 收藏  |  浏览/下载：13/0  |  提交时间：2022/12/07
	Defect detection on new samples with siamese defect-aware attention network 期刊论文 APPLIED INTELLIGENCE, 2022, 页码: 16 作者:  Zheng, Ye;  Cui, Li 收藏  |  浏览/下载：26/0  |  提交时间：2022/12/07 Defect detection  Unseen samples  Siamese attention  Convolutional neural network  Template image