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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 发表日期：2020     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 Graph convolutional network with structure pooling and joint-wise channel attention for action recognition 期刊论文 PATTERN RECOGNITION, 2020, 卷号: 103, 页码: 12 作者:  Chen, Yuxin;  Ma, Gaoqun;  Yuan, Chunfeng;  Li, Bing;  Zhang, Hui 收藏  |  浏览/下载：39/0  |  提交时间：2020/06/22 Graph convolutional network  Structure graph pooling  Joint-wise channel attention   Object Relational Graph with Teacher-Recommended Learning for Video Captioning 会议论文 线上, 2020.6.14-19 作者:  Zhang,Ziqi;  Shi,Yaya;  Yuan,Chunfeng;  Li,Bing;  Wang,Peijin 收藏  |  浏览/下载：11/0  |  提交时间：2022/06/16 Anisotropic Convolution for Image Classification 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 99, 页码: 5584-5595 作者:  Li, Wenjuan;  Li, Bing;  Yuan, Chunfeng;  Li, Yangxi;  Wu, Haohao 收藏  |  浏览/下载：18/0  |  提交时间：2020/10/16 Anisotropic convolution  image classification  object localization   Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation 期刊论文 SUSTAINABILITY, 2020, 卷号: 12, 期号: 7, 页码: 18 作者:  Ma, Hanqing;  Ma, Chunfeng;  Li, Xin;  Yuan, Wenping;  Liu, Zhengjia 收藏  |  浏览/下载：16/0  |  提交时间：2021/03/23 sensitivity analysis  flux-based ecosystem model  extended Fourier amplitude sensitivity test (EFAST)  Howland forest  Markov chain Monte Carlo   STA-CNN: Convolutional Spatial-Temporal Attention Learning for Action Recognition 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5783-5793 作者:  Yang, Hao;  Yuan, Chunfeng;  Zhang, Li;  Sun, Yunda;  Hu, Weiming 收藏  |  浏览/下载：29/0  |  提交时间：2020/06/22 Videos  Feature extraction  Motion segmentation  Computational modeling  Image recognition  Solid modeling  Convolutional neural networks  Temporal attention  spatial attention  convolutional neural network  action recognition   Anisotropic Convolution for Image Classification 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5584-5595 作者:  Li, Wenjuan;  Li, Bing;  Yuan, Chunfeng;  Li, Yangxi;  Wu, Haohao 收藏  |  浏览/下载：11/0  |  提交时间：2020/06/22 Convolution  Shape  Kernel  Feature extraction  Task analysis  Training  Neural networks  Anisotropic convolution  image classification  object localization   EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0 作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming 收藏  |  浏览/下载：63/0  |  提交时间：2021/06/17 Data-driven  low-rank decomposition  model compression and acceleration  structured pruning