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Manipulating Template Pixels For Model Adaptation Of Siamese Visual Tracking 期刊论文
IEEE Signal Processing Letters, 2020, 期号: 27, 页码: 1690-1694
作者:  Li ZB(李振邦)
Adobe PDF(1206Kb)  |  收藏  |  浏览/下载：101/43  |  提交时间：2022/01/12
Model adaptation  siamese networks  visual tracking  
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：281/64  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 期刊论文
MOLECULAR AUTISM, 2020, 卷号: 11, 期号: 1, 页码: 15
作者:  Qi, Shile;  Morris, Robin;  Turner, Jessica A.;  Fu, Zening;  Jiang, Rongtao;  Deramus, Thomas P.;  Zhi, Dongmei;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(6135Kb)  |  收藏  |  浏览/下载：289/13  |  提交时间：2021/01/06
Heterogeneity  Autism spectrum disorder  Asperger’  s disorder  Pervasive developmental disorder-not otherwise specified (PDD-NOS)  Autistic disorder  Multimodal fusion  
Progressive rectification network for irregular text recognition 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 2, 页码: 1-14
作者:  Gao, Yunze;  Chen, Yingying;  Wang, Jinqiao;  Lu, Hanqing
浏览  |  Adobe PDF(1487Kb)  |  收藏  |  浏览/下载：374/93  |  提交时间：2020/04/07
irregular text recognition  progressive rectification  iterative refinement  
Deep Unbiased Embedding Transfer for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 29, 页码: 1958-1971
作者:  Jia, Zhen;  Zhang, Zhang;  Wang, Liang;  Shan, Caifeng;  Tan, Tieniu
浏览  |  Adobe PDF(3428Kb)  |  收藏  |  浏览/下载：395/65  |  提交时间：2020/03/30
Visualization  Feature extraction  Semantics  Training  Seals  Prototypes  Indexes  Zero-shot learning  image classification  projection domain shift  convolutional neural network  generative adversarial network