机构

• 自动化研究所 [7]
• 计算技术研究所 [3]
• 重庆绿色智能技术研究... [2]
• 深海科学与工程研究所 [2]
• 合肥物质科学研究院 [1]
• 软件研究所 [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [15]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2021 [1]
• 2020 [4]
• 2019 [2]
• 2018 [3]
• 2017 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共16条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 FishFocusNet: An improved method based on YOLOv8 for underwater tropical fish identification 期刊论文  OAI收割 IET IMAGE PROCESSING, 2024, 页码: 16 作者:  Lu, Zhaoxuan;  Zhu, Xiaolong;  Guo, Haitao;  Xie, Xingang;  Chen, Xiangzi   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/10/21 convolutional neural nets  object detection  object recognition   Realtime and Accurate 3D Eye Gaze Capture with DCNN-Based Iris and Pupil Segmentation 期刊论文  OAI收割 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 1, 页码: 190-203 作者:  Wang, Zhiyong;  Chai, Jinxiang;  Xia, Shihong   |  收藏  |  浏览/下载：55/0  |  提交时间：2021/12/01 Three-dimensional displays  Gaze tracking  Iris  Cameras  Convolutional neural nets  Image reconstruction  Videos  3D eye gaze tracking  convolutional neural network  facial capture   CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文  OAI收割 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：78/0  |  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   The Kernel Dynamics of Convolutional Neural Networks in ManifoldsInspec keywordsOther keywordsKey words 期刊论文  OAI收割 CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1185-1192 作者:  Wu, Wei;  Jing, Xiaoyuan;  Du, Wencai   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/03/23 convolutional neural nets  learning (artificial intelligence)  kernel-based CNN  convolutional neural network  kernel dynamics  status transfer functions  neural manifolds  layered structure  Convolutional neural networks  Kernelbased convolution  Learning dynamics  Neural manifolds   Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16 作者:  Zhang, Yingjie;  Soon, Hong Geok;  Ye, Dongsen;  Fuh, Jerry Ying Hsi;  Zhu, Kunpeng   |  收藏  |  浏览/下载：82/0  |  提交时间：2020/10/26 Feature extraction  Cameras  Fiber lasers  Laser modes  Convolutional neural nets  Additive manufacturing  condition monitoring  convolutional neural networks (CNNs)  melt-pool-affected zone  powder-bed fusion (PBF)   Improving speech enhancement by focusing on smaller values using relative loss 期刊论文  OAI收割 IET SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 6, 页码: 374-384 作者:  Li, Hongfeng;  Xu, Yanyan;  Ke, Dengfeng;  Su, Kaile   |  收藏  |  浏览/下载：22/0  |  提交时间：2020/09/07 speech enhancement  speech intelligibility  performance evaluation  learning (artificial intelligence)  neural nets  absolute differences  speech quality  relative loss  single-channel speech enhancement  noisy speech  ideal ratio mask  phase-sensitive mask  mean square error  loss function  absolute error values  magnitude spectra  deep learning  clean speech recovery  short-time objective intelligibility  signal-to-distortion ratio  segmental signal-to-noise ratio  performance evaluation   Deep Hashing Based on VAE-GAN for Efficient Similarity Retrieval 期刊论文  OAI收割 CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1191-1197 作者:  Jin, Guoqing;  Zhang, Yongdong;  Lu, Ke   |  收藏  |  浏览/下载：22/0  |  提交时间：2020/12/10 file organisation  image retrieval  learning (artificial intelligence)  neural nets  pairwise hashing learning  semantic perserving feature mapping model  adversarial generative process  image feature vector  hash codes  pairwise ranking loss  generative networks  VAE-GAN based hashing framework  image retrieval  content preserving images  similarity retrieval  variational autoencoder  generative adversarial network  Image retrieval  Learning to hash  Variational autoencoder(VAE)  Generative adversarial network(GAN)   Robust correlation filter tracking with deep semantic supervision 期刊论文  OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760 作者:  Wang, Wei;  Chen, Zhaoming;  Douadji, Lyes;  Shi, Mingquan   |  收藏  |  浏览/下载：87/0  |  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   An overview on probability undirected graphs and their applications in image processing 期刊论文  OAI收割 NEUROCOMPUTING, 2018, 卷号: 321, 页码: 156-168 作者:  Zhang, Jian;  Ding, Shifei;  Zhang, Nan   |  收藏  |  浏览/下载：43/0  |  提交时间：2019/12/10 Restricted Boltzmann machine  Conditional random field  Classification  Deep neural nets   Real-time segmentation of various insulators using generative adversarial networks 期刊论文  OAI收割 IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602 作者:  Chang, Wenkai;  Yang, Guodong;  Yu, Junzhi;  Liang, Zize   |  收藏  |  浏览/下载：55/0  |  提交时间：2019/12/16 image segmentation  insulators  neural nets  power engineering computing  real-time pixel-level segmentation  generative adversarial networks  insulator segmentation algorithm  cluttered background  artificial thresholds  compact end-to-end neural network  visual saliency map  proposed two-stage training  segmentation quality