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基于生成对抗网络的人脸图像增强方法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2021
Authors:  窦昊
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人脸图像增强  生成对抗网络  近红外人脸图像增强  人脸超分辨  跨年龄人脸变换  
仿生滑翔机器海豚的多模态运动控制研究 学位论文
, 北京: 中国科学院大学, 2021
Authors:  王健
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仿生滑翔机器海豚  多模态  深度控制  路径规划  路径跟踪  
基于受限样本的图像转换方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  曹杰
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图像转换  图像合成  生成对抗式网络  人脸转正  异质人脸图像生成  
面向计算机视觉的神经网络架构设计 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  李志航
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神经网络架构设计  网络架构搜索  图像分类  目标检测  
3-D Path Planning With Multiple Motions for a Gliding Robotic Dolphin 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2904-2915
Authors:  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
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Dolphins  Path planning  Robot kinematics  Dynamics  Task analysis  Heuristic algorithms  Astar (A*) algorithm  dynamic modeling  gliding robotic dolphin  path planning  segmented Bezier curve  
Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition 期刊论文
IEEE Transactions on Information Forensics and Security, 2021, 卷号: 16, 期号: -, 页码: 3082-3095
Authors:  Guo JZ(郭建珠);  Zhu XY(朱翔昱);  Lei Z(雷震);  Li ZQ(李子青)
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Face recognition  unsupervised domain adaptation  meta-learning  batch normalization  
A prototype-based SPD matrix network for domain adaptation EEG emotion recognition 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 110, 期号: 1, 页码: 12
Authors:  Wang, Yixin;  Qiu, Shuang;  Ma, Xuelin;  He, Huiguang
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EEG  Emotion recognition  Domain adaptation  SPD matrix  Riemannian manifold  Prototype learning  
Universal adversarial perturbations against object detection 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 110, 期号: 无, 页码: 107584
Authors:  Li, Debang;  Zhang, Junge;  Huang, Kaiqi
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Adversarial examples  Object detection  Universal adversarial perturbation  
Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1025-1037
Authors:  Chengcai Leng;  Hai Zhang;  Guorong Cai;  Zhen Chen;  Anup Basu
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Data clustering  dimension reduction  image registration  non-negative matrix factorization (NMF)  total variation (TV)  
Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333
Authors:  Xiao-Qin Zhang;  Run-Hua Jiang;  Chen-Xiang Fan;  Tian-Yu Tong;  Tao Wang Peng-Cheng Huang
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Deep learning  visual tracking  data-invariant  data-adaptive  general components