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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447 作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian 收藏  |  浏览/下载：24/0  |  提交时间：2022/06/10 Convolution  Field programmable gate arrays  System-on-chip  Task analysis  Random access memory  Tensors  Memory management  Block convolution  convolutional neural network (CNN) accelerator  field-programmable gate array (FPGA)  memory efficient  off-chip transfer   Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3234-3246 作者:  Chen, Long;  Lin, Shaobo;  Lu, Xiankai;  Cao, Dongpu;  Wu, Hangbin 收藏  |  浏览/下载：23/0  |  提交时间：2021/08/15 Deep neural networks  autonomous driving  vehicle detection  pedestrian detection  survey   Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021, 期号: 2021.5, 页码: 1-1 作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian 收藏  |  浏览/下载：34/0  |  提交时间：2022/02/15 block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator   A Novel Vision-Based Grasping Method Under Occlusion for Manipulating Robotic System 期刊论文 IEEE SENSORS JOURNAL, 2020, 卷号: 20, 期号: 18, 页码: 10996-11006 作者:  Yu, Yingying;  Cao, Zhiqiang;  Liang, Shuang;  Geng, Wenjie;  Yu, Junzhi 收藏  |  浏览/下载：14/0  |  提交时间：2021/01/07 Manipulating robotic system  vision-based grasping  convolutional neural network  occlusion  image inpainting   SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 135563-135572 作者:  Wang, Zhenyu;  Lian, Jie;  Song, Chunfeng;  Zhang, Zhaoxiang;  Zheng, Wei 收藏  |  浏览/下载：7/0  |  提交时间：2020/03/30 Mobile devices  deep learning  painting detection and recognition