中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共6条，第1-6条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：154/41  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy 会议论文
, 线上, 2022-2
作者:  Cheng AD(程安达);  Wang JX(王家兴);  Zhang X(张希);  Chen Q(谌强);  Wang PS(王培松);  Cheng J(程健)
Adobe PDF(1135Kb)  |  收藏  |  浏览/下载：86/21  |  提交时间：2023/06/05
Robust one-stage object detection with location-aware classifiers 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105, 页码: 11
作者:  Chen, Qiang;  Wang, Peisong;  Cheng, Anda;  Wang, Wanguo;  Zhang, Yifan;  Cheng, Jian
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：296/53  |  提交时间：2020/08/03
Object detetion  Classification  Localization  Feature visualization  Receptive field  
Spatialflow: Bridging all tasks for panoptic segmentation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 31, 期号: 6, 页码: 2288-2300
作者:  Chen, Qiang;  Cheng, Anda;  He, Xiangyu;  Wang, Peisong;  Cheng, Jian
Adobe PDF(4643Kb)  |  收藏  |  浏览/下载：170/33  |  提交时间：2020/10/20
panoptic segmentation  
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching 会议论文
, Online, 2020
作者:  Wang, Peisong;  Chen, Qiang;  He, Xiangyu;  Cheng, Jian
Adobe PDF(389Kb)  |  收藏  |  浏览/下载：128/31  |  提交时间：2020/10/20
Unsupervised Network Quantization via Fixed-Point Factorization 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 期号: 1, 页码: 1
作者:  Wang, Peisong;  He, Xiangyu;  Chen, Qiang;  Cheng, Anda;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：195/48  |  提交时间：2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.