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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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浏览/检索结果:
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OS-SSVEP: One-shot SSVEP classification
期刊论文
NEURAL NETWORKS, 2024, 卷号: 180, 页码: 12
作者:
Deng, Yang
;
Ji, Zhiwei
;
Wang, Yijun
;
Zhou, S. Kevin
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
Brain-computer interface (BCI)
Steady-state visual evoked potential (SSVEP)
One-shot classification
Transfer learning
Data augmentation
Learning Domain Invariant Features for Unsupervised Indoor Depth Estimation Adaptation
期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 9, 页码: 23
作者:
Zhang, Jiehua
;
Li, Liang
;
Yan, Chenggang
;
Wang, Zhan
;
Xu, Changliang
;
Zhang, Jiyong
;
Chen, Chuqiao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/12/06
Indoor depth estimation
unsupervised learning
transfer learning
domain adaptation
Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 6, 页码: 4159-4174
作者:
Chang, Dongliang
;
Sain, Aneeshan
;
Ma, Zhanyu
;
Song, Yi-Zhe
;
Wang, Ruiping
;
Guo, Jun
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
Picture archiving and communication systems
Training
Task analysis
Labeling
Adaptation models
Visualization
Information exchange
Domain adaptation
open set
mutual learning
transfer learning
Dual-View Curricular Optimal Transport for Cross-Lingual Cross-Modal Retrieval
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1522-1533
作者:
Wang, Yabing
;
Wang, Shuhui
;
Luo, Hao
;
Dong, Jianfeng
;
Wang, Fan
;
Han, Meng
;
Wang, Xun
;
Wang, Meng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/05/20
Visualization
Noise measurement
Estimation
Costs
Transportation
Training
Task analysis
Cross-modal retrieval
noise correspondence learning
cross-lingual transfer
optimal transport
machine translation
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network
期刊论文
JOURNAL OF ENERGY STORAGE, 2023, 卷号: 73, 页码: 15
作者:
Gao, Jingyi
;
Yang, Dongfang
;
Wang, Shi
;
Li, Zhaoting
;
Wang, Licheng
;
Wang, Kai
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/05/20
Lithium-ion battery
State of health estimation
Bidirectional temporal convolutional neural
network
Mixers
Transfer learning
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning
期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 5, 页码: 16
作者:
Zhang, Yuxin
;
Tang, Fan
;
Dong, Weiming
;
Huang, Haibin
;
Ma, Chongyang
;
Lee, Tong-Yee
;
Xu, Changsheng
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/04
Arbitrary style transfer
contrastive learning
style encoding
Generalizing to Unseen Domains: A Survey on Domain Generalization
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 8, 页码: 8052-8072
作者:
Wang, Jindong
;
Lan, Cuiling
;
Liu, Chang
;
Ouyang, Yidong
;
Qin, Tao
;
Lu, Wang
;
Chen, Yiqiang
;
Zeng, Wenjun
;
Yu, Philip S.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/04
Domain generalization
domain adaptation
transfer learning
out-of-distribution generalization
Node classification across networks via category-level domain adaptive network embedding
期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2023, 页码: 24
作者:
Shi, Boshen
;
Wang, Yongqing
;
Shao, Jiangli
;
Shen, Huawei
;
Li, Yangyang
;
Cheng, Xueqi
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/04
Node classification across networks
Graph neural networks
Domain adaptation
Transfer learning
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:
Chen, Yiqiang
;
Lu, Wang
;
Qin, Xin
;
Wang, Jindong
;
Xie, Xing
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/04
Federated learning (FL)
healthcare
knowledge distillation (KD)
personalization
transfer learning
Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 49601-49610
作者:
Song, Ying
;
Li, Mengxing
;
Wang, Bo
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/04
Convolutional neural networks
Continuous wavelet transforms
Data models
Training
Computer vision
Transformers
Transfer learning
Long-tailed recognition
self-attention
vision transformer
CNN
TrivialAugment