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浏览/检索结果: 共12条，第1-10条 帮助 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 Inverted N-Type Lightweight Network Based on Back Projection for Image Super-Resolution Reconstruction 期刊论文 Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 卷号: 34, 期号: 6, 页码: 923-932 作者:  Song, Zhaoyang;  Zhao, Xiaoqiang;  Hui, Yongyong;  Jiang, Hongmei 收藏  |  浏览/下载：11/0  |  提交时间：2022/07/20 Deep learning  Image reconstruction  Optical resolving power  Signal to noise ratio  Backprojections  Deep learning  Image super-resolution reconstruction  Inverted N-type network  Low resolution images  Network-based  Reconstruction algorithms  Resolution images  Super-resolution reconstruction  Superresolution   Super-resolution semantic segmentation with relation calibrating network 期刊论文 PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 10 作者:  Jiang, Jie;  Liu, Jing;  Fu, Jun;  Wang, Weining;  Lu, Hanqing 收藏  |  浏览/下载：15/0  |  提交时间：2022/02/16 Image semantic segmentation  Super-resolution semantic segmentation  Relation calibrating   PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文 IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110 作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng 收藏  |  浏览/下载：2/0  |  提交时间：2023/06/27 Progressive back-projection network for COVID-CT super-resolution 期刊论文 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 208 作者:  Song, Zhaoyang;  Zhao, Xiaoqiang;  Hui, Yongyong;  Jiang, Hongmei 收藏  |  浏览/下载：4/0  |  提交时间：2021/10/14 COVID-CT  Super-resolution  Progressive back-projection network  Residual attention module  Up-projection and down-projection residual  module   Dynamic Guided Network for Monocular Depth Estimation 会议论文 Milan, Italy, Jan. 10-15, 2021 作者:  Xing, Xiaoxia;  Cai, Yinghao;  Wang, Yanqing;  Lu, Tao;  Yang, Yiping 收藏  |  浏览/下载：8/0  |  提交时间：2022/06/17 Depth estimation  Dynamic guide filter  Self-attention mechanism   Self-Supervised Feature Augmentation for Large Image Object Detection 期刊论文 IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758 作者:  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Gu, Yang;  Song, Zhichao 收藏  |  浏览/下载：22/0  |  提交时间：2020/12/21 object detection  large image  self-supervise  feature augmentation   Contextual deconvolution network for semantic segmentation 期刊论文 PATTERN RECOGNITION, 2020, 卷号: 101, 页码: 11 作者:  Fu, Jun;  Liu, Jing;  Li, Yong;  Bao, Yongjun;  Yan, Weipeng 收藏  |  浏览/下载：11/0  |  提交时间：2020/06/02 Semantic segmentation  Deconvolution network  Channel contextual module  Spatial contextual module   Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments 会议论文 NewYork USA, 2020.2.7-2020.2.12 作者:  Zhen-Liang Ni;  Gui-Bin Bian;  Guan-An Wang;  Xiao-Hu Zhou;  Zeng-Guang Hou 收藏  |  浏览/下载：3/0  |  提交时间：2022/06/15 surgical instrument segmentation   Extracting Raft Aquaculture Areas from Remote Sensing Images via an Improved U-Net with a PSE Structure 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 17 作者:  Cui, Binge;  Fei, Dong;  Shao, Guanghui;  Lu, Yan;  Chu, Jialan 收藏  |  浏览/下载：14/0  |  提交时间：2019/12/11 raft aquaculture areas extraction  remote sensing image  fully  convolution network  U-Net  pyramid upsampling  squeeze-excitation  module   Unsupervised Learning of Accurate Camera Pose and Depth From Video Sequences With Kalman Filter 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 32796-32804 作者:  Wang, Yan;  Xu, Yu-Fan 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Unsupervised learning  dense depth recovery  ego-motion  Kalman filter  decoupled  upsampling module