中国科学院重庆绿色智能技术研究院机构知识库

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	A self-supervised causal feature reinforcement learning method for non-invasive hemoglobin prediction 期刊论文 IET IMAGE PROCESSING, 2023, 页码: 12 作者:  Xu, Linquan;  Chen, Yuwen;  Lu, Songmei;  Zhong, Kunhua;  Li, Yujie;  Yi, Bin 收藏  |  浏览/下载：10/0  |  提交时间：2023/12/25 biomedical imaging  computer vision  convolutional neural nets  neural nets
	Robust correlation filter tracking with deep semantic supervision 期刊论文 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760 作者:  Wang, Wei;  Chen, Zhaoming;  Douadji, Lyes;  Shi, Mingquan Adobe PDF(3083Kb)  |  收藏  |  浏览/下载：236/0  |  提交时间：2019/06/24 particle filtering (numerical methods)  learning (artificial intelligence)  target tracking  convolutional neural nets  robust correlation filter tracking  high tracking performance  tracking failure  deep semantic supervision tracking framework  redetection tracking mechanism  particle filtering resampling  CF tracker  deep convolutional neural network  tracking frames  target occlusion  handcrafted features  real-time performance  OTB2013 benchmark datasets  OTB2015 benchmark datasets
	Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy 期刊论文 IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193 作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong;  Yuan, Jiahu Adobe PDF(3776Kb)  |  收藏  |  浏览/下载：240/0  |  提交时间：2018/06/04 Object Recognition  Feedforward Neural Nets  Learning (Artificial Intelligence)  Comprehensive Vehicle Attributes  D-cnn  Weighted Multiattribute Strategy  Deep Convolutional Neural Network  Surveillance Images  Vehicle Model Recognition  Make Recognition  Mtl Methods  Multitask Learning  Compcars Vehicle Dataset  Manufacturer Recognition