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Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 4, 页码: 970-989
作者:  Zhang, Zhaoxiang;  Pan, Cong;  Peng, Junran
Adobe PDF(1753Kb)  |  收藏  |  浏览/下载：213/2  |  提交时间：2022/06/06
Computer vision  Object detection  Effective receptive fields  Hardware acceleration  
BlockQNN: Efficient Block-Wise Neural Network Architecture Generation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 7, 页码: 2314-2328
作者:  Zhong, Zhao;  Yang, Zichen;  Deng, Boyang;  Yan, Junjie;  Wu, Wei;  Shao, Jing;  Liu, Cheng-Lin
收藏  |  浏览/下载：258/0  |  提交时间：2021/11/03
Computer architecture  Task analysis  Neural networks  Network architecture  Graphics processing units  Acceleration  Indexes  Convolutional neural network  neural architecture search  AutoML  reinforcement learning  Q-learning