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BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：214/51  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
IWSCR: An intelligent water surface cleaner robot for collecting floating garbage 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 期号: 暂无, 页码: 暂无
作者:  Kong SH(孔诗涵)
Adobe PDF(1738Kb)  |  收藏  |  浏览/下载：211/49  |  提交时间：2021/06/21
Deep learning  grasping strategy  intelligent water surface cleaner  robot system  sliding-mode controller (SMC)  
Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 5, 页码: 1024 - 1037
作者:  He, Ran;  Cao, Jie;  Song, Lingxiao;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4148Kb)  |  收藏  |  浏览/下载：225/49  |  提交时间：2021/06/16
heterogeneous face recognition  near infrared-visible matching  face completion  face inpainting  
Finding Patterns in Adversarial Training 期刊论文
Chinese Automation Congress, 2020, 期号: 无, 页码: gress. 2020: 4130 4134.
作者:  Yutong Wang;  Fei-Yue Wang
Adobe PDF(1221Kb)  |  收藏  |  浏览/下载：127/46  |  提交时间：2021/06/15
Adversarial training  Feature map denoising  Channel pruning  
CNQ:Compressor-Based Non-uniform Quantization of Deep Neural Networks 期刊论文
Chinese Journal of Electronics, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:  Yuan Yong;  Chen Chen;  Hu Xiyuan;  Peng Silong
收藏  |  浏览/下载：225/0  |  提交时间：2021/03/15
Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression  
CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:  Yuan, Yong;  Chen, Chen;  Hu, Xiyuan;  Peng, Silong
收藏  |  浏览/下载：315/0  |  提交时间：2021/03/08
entropy  image classification  learning (artificial intelligence)  neural nets  object detection  optimisation  quantisation (signal)  network structure  DNN  low-bit quantization  time-consuming training  compressor-based fast nonuniform quantization method  quantization model  post-training quantization methods  deep neural networks  network quantization  compressor-based nonuniform quantization  CNQ  Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression  
Knowledge-driven Egocentric Multimodal Activity Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 21
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyu;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1875Kb)  |  收藏  |  浏览/下载：437/72  |  提交时间：2021/03/08
Egocentric videos  wearable sensors  graph neural networks  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：333/76  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
Real-Time Orthophoto Mosaicing on Mobile Devices for Sequential Aerial Images with Low Overlap 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 22, 页码: 15
作者:  Zhao, Yong;  Cheng, Yuqi;  Zhang, Xishan;  Xu, Shibiao;  Bu, Shuhui;  Jiang, Hongkai;  Han, Pengcheng;  Li, Ke;  Wan, Gang
收藏  |  浏览/下载：264/0  |  提交时间：2021/01/06
aerial images  DOM  low overlap  mosaicing  georeferenced  orthophoto  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：326/64  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability