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浏览/检索结果: 共12条，第1-10条 帮助 限定条件 内容类型：会议论文    专题：兰州理工大学    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 A Survey on Deep Reinforcement Learning for Traffic Signal Control 会议论文 Kunming, PEOPLES R CHINA, MAY 22-24, 2021 作者:  Miao, Wei;  Li, Long;  Wang, Zhiwen 收藏  |  浏览/下载：2/0  |  提交时间：2022/09/22 Deep reinforcement learning  Traffic signal control  Multi-agent  Intersection   Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module 会议论文 Univ Sci & Technol Beijing, Zhuhai, PEOPLES R CHINA, DEC 19-21, 2021 作者:  Li, Ce;  Chang, Enbing;  Liu, Fenghua;  Xuan, Shuxing;  Zhang, Jie 收藏  |  浏览/下载：4/0  |  提交时间：2022/09/22 Face Anti-spoofing  Tiny models  Depth image   Small-sample image classification method of combining prototype and margin learning 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者:  Li, Xiaoxu;  Yu, Liyun;  Cao, Jie;  Chang, Dongliang;  Ma, Zhanyu 收藏  |  浏览/下载：0/0  |  提交时间：2020/11/15 Classification (of information)  Deep neural networks  Image classification  Large dataset  Learning systems  Neural networks  Classification methods  Ensemble learning  Ensemble methods  Large-scale datasets  Prototype and margin learning  Prototype learning  Small sample datum  Small samples   Deep CNN jointing low-high level feature for image super-resolution 会议论文 Chengdu, China, December 12, 2018 - December 14, 2018 作者:  Song, Xuhui;  Liu, Weirong;  Liu, Jie;  Liu, Chaorong;  Lu, Chunyan 收藏  |  浏览/下载：11/0  |  提交时间：2020/11/15 Image reconstruction  Neural networks  Optical resolving power  Semantics  Textures  Convolutional neural network  High resolution image  High-level semantic features  Image super resolutions  Low resolution images  Low-high  Perceptual effects  Residual learning   Deep CNN Jointing Low-High Level Feature for Image Super-Resolution 会议论文 作者:  Song, Xuhui;  Liu, Weirong;  Liu, Jie;  Liu, Chaorong;  Lu, Chuyan 收藏  |  浏览/下载：0/0  |  提交时间：2019/11/15 jointing low-high level feature  CNN  residual learning  image super-resolution   Text detection for dust image based on deep learning 会议论文 Nanjing, China, May 18, 2018 - May 20, 2018 作者:  Liu, Hao;  Li, Ce;  Jia, Shengze;  Zhang, Dong 收藏  |  浏览/下载：8/0  |  提交时间：2020/11/15 Deep learning  Dust  Neural networks  Computational costs  Convolutional neural network  Enhancement algorithms  Image enhancement algorithm  Intelligent information processing  Maximally Stable Extremal Regions  Run length smoothing algorithms  Text detection   Text Detection for Dust Image Based on Deep Learning 会议论文 作者:  Liu, Hao;  Li, Ce;  Jia, Shengze;  Zhang, Dong 收藏  |  浏览/下载：6/0  |  提交时间：2019/11/15 dust image  enhancement algorithm  text detection   Image-Text Dual Model for Small-Sample Image Classification 会议论文 作者:  Zhu, Fangyi;  Li, Xiaoxu;  Ma, Zhanyu;  Chen, Guang;  Peng, Pai 收藏  |  浏览/下载：5/0  |  提交时间：2019/11/15 Small-sample image classification  Ensemble learning  Deep convolutional neural network   Image-text dual model for small-sample image classification 会议论文 Tianjin, China, October 11, 2017 - October 14, 2017 作者:  Zhu, Fangyi;  Li, Xiaoxu;  Ma, Zhanyu;  Chen, Guang;  Peng, Pai 收藏  |  浏览/下载：0/0  |  提交时间：2020/11/15 Classification (of information)  Computer vision  Deep neural networks  Image enhancement  Neural networks  Sports  Text processing  Classification accuracy  Classification performance  Convolutional neural network  Ensemble learning  Image texts  Small samples  Text classification models  Text information   Surveillance based crowd counting via convolutional neural networks 会议论文 Beijing, China, October 19, 2016 - October 19, 2016 作者:  Zhang, Damin;  Li, Zhanming;  Liu, Pengcheng 收藏  |  浏览/下载：4/0  |  提交时间：2020/11/15 Convolution  Monitoring  Motion analysis  Neural networks  Cluttered backgrounds  Convolutional neural network  Crowd managements  End to end  Motion cues  Public security  State-of-the-art performance  Video surveillance