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DNA computing inspired deep networks design 期刊论文
NEUROCOMPUTING, 2020, 卷号: 382, 页码: 140-147
Authors:  Zhong, Guoqiang;  Li, Tao;  Jiao, Wencong;  Wang, Li-Na;  Dong, Junyu;  Liu, Cheng-Lin
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Deep neural networks  DNA computing  Automatic architecture design  Image classification  
Deep Unbiased Embedding Transfer for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 1958-1971
Authors:  Jia, Zhen;  Zhang, Zhang;  Wang, Liang;  Shan, Caifeng;  Tan, Tieniu
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Visualization  Feature extraction  Semantics  Training  Seals  Prototypes  Indexes  Zero-shot learning  image classification  projection domain shift  convolutional neural network  generative adversarial network  
Multi-View Image Classification With Visual, Semantic and View Consistency 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 617-627
Authors:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
Favorite  |  View/Download:13/0  |  Submit date:2020/03/30
Semantics  Visualization  Correlation  Training  Internet  Encoding  Image representation  Multi-view learning  image classification  visual consistency  semantic consistency  view consistency  
Vehicle Re-Identification Using Quadruple Directional Deep Learning Features 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 1, 页码: 410-420
Authors:  Zhu, Jianqing;  Zeng, Huanqiang;  Huang, Jingchang;  Liao, Shengcai;  Lei, Zhen;  Cai, Canhui;  Zheng, Lixin
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Deep learning  Feature extraction  Convolutional neural networks  Databases  Measurement  Cameras  Intelligent transportation systems  Computer vision  artificial neural networks  feature extraction  image classification  
Surface Defects Detection Based on Adaptive Multiscale Image Collection and Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 12, 页码: 4787-4797
Authors:  Sun, Jia;  Wang, Peng;  Luo, Yong-Kang;  Li, Wanyi
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Inspection  Surface treatment  Training  Metals  Task analysis  Instruments  Visualization  Adaptive multiscale image collection (AMIC)  convolutional neural networks (CNNs)  image classification  surface inspection  
ScaleNet_ a convolutional network to extract multi-scale and fine-grained visual features 期刊论文
IEEE Access, 2019, 期号: 7, 页码: 147560-147570
Authors:  Zhang Jinpeng;  Zhang Jinming;  Hu Guyue;  Cheng Yang;  Yu Shan
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Image Classification  Convolutional Neural Networks  Resnet  Deconvolution  
Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1922-1930
Authors:  Yang, Menglin;  Li, Ding;  Zhang, Wensheng
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feature extraction  diseases  medical image processing  patient diagnosis  image segmentation  image classification  supervised learning  image annotation  thoracic disease diagnosis  weakly supervised learning  computer-aided diagnosis  coarse image-level annotations  pathological area  nonlocal aware features  fine-grained expertise  clinical diagnosis  visualisation method  chest X-ray dataset  spatial nonlocal attention mechanism  ResNet-SNA  
BitStream: An efficient framework for inference of binary neural networks on CPUs 期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 125, 页码: 303-309
Authors:  Jiang, Yanshu;  Zhao, Tianli;  He, Xiangyu;  Leng, Cong;  Cheng, Jian
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Convolutional neural networks  Binary neural networks  Image classification  
Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment 期刊论文
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2019, 卷号: 17, 期号: 2, 页码: 16
Authors:  Lu, Yanfeng;  Jia, Lihao;  Qiao, Hong;  Li, Yi;  Qi, Zongshuai
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Image recognition  classification  BIM  oriented Gaussian-Hermite moment  Gabor features  patch selection  
Structure-Aware Deep Learning for Product Image Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2019, 卷号: 15, 期号: 1, 页码: 20
Authors:  Chen, Zhineng;  Al, Shanshan;  Jia, Caiyan
Favorite  |  View/Download:24/0  |  Submit date:2019/07/12
Image classification  category hierarchy  convolutional neural network  multi-class regression  multi-task learning