QQ客服 官方微博 反馈留言

浏览/检索结果: 共7条，第1-7条 帮助 限定条件 发表日期：2019     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 Visual Tracking using Spatial-Temporal Regularized Support Correlation Filters 会议论文 Sanya, China, November 16, 2018 - November 18, 2018 作者:  Li, Binshan;  Liu, Chaorong;  Liu, Jie;  Gao, Huiling;  Song, Xuhui 收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15 Physics  Closed form solutions  Correlation filters  Inter-frame information  Multi dimensional  Optimization algorithms  Spatial temporals  Temporal regularization  Tracking performance   Self-supported ternary (NixFey)(2)P nanoplates arrays as an efficient bifunctional electrocatalyst for overall water splitting 期刊论文 ELECTROCHIMICA ACTA, 2019, 卷号: 319, 页码: 561-568 作者:  Li, Shuaishuai;  Wang, Xing;  Li, Min;  Liu, Jian;  Li, Chaorong 收藏  |  浏览/下载：32/0  |  提交时间：2019/12/02 Ternary transition metal phosphides  Self supporting  Bifunctional electrocatalyst  Overall water splitting  Synergistic effect   Ageratina adenophora causes spleen toxicity by inducing oxidative stress and pyroptosis in mice 期刊论文 2019, 卷号: 6, 期号: 7 作者:  Sun, Wei[1,2];  Zeng, Chaorong[3];  Yue, Dong[1];  Liu, Shanshan[2];  Ren, Zhihua[1] 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/16 Convolutional Residual Learning with Sparse Robust Samples and Multi-feature Fusion for Object Tracking 会议论文 作者:  Gao, Huiling;  Liu, Jie;  Liu, Chaorong;  Li, Binshan;  Zhao, Zhengtian 收藏  |  浏览/下载：1/0  |  提交时间：2019/11/15 Sparse representation  deep learning  joint detection  multiple feature fusion  object tracking   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：12/0  |  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   Convolutional residual learning with sparse robust samples and multi-feature fusion for object tracking 会议论文 Chengdu, China, December 12, 2018 - December 14, 2018 作者:  Gao, Huiling;  Liu, Jie;  Liu, Chaorong;  Li, Binshan;  Zhao, Zhengtian 收藏  |  浏览/下载：16/0  |  提交时间：2020/11/15 Convolution  Deep learning  Interactive computer systems  Tracking (position)  Contamination degree  Joint detection  Multi-feature fusion  Multiple feature fusion  Object Tracking  Occlusion detection  Positioning accuracy  Sparse representation   Deep CNN Jointing Low-High Level Feature for Image Super-Resolution 会议论文 作者:  Song, Xuhui;  Liu, Weirong 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