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Cross-Domain Adversarial Feature Learning for Sketch Re-ide..:

, In: Proceedings of the 26th ACM international conference on Multimedia,

Pang, Lu ; Wang, Yaowei ; Song, Yi-Zhe.. - p. 609-617 , 2018

Link: https://dl.acm.org/doi/10.1145/3240508.3240606

RT 
T1 <cTitle>Proceedings of the 26th ACM international conference on Multimedia</cTitle>: T1 <Title>Cross-Domain Adversarial Feature Learning for Sketch Re-identification</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3240606&Exemplar=1&LAN=DE
				
A1 Pang, Lu
A1 Wang, Yaowei
A1 Song, Yi-Zhe
A1 Huang, Tiejun
A1 Tian, Yonghong
PB ACM
YR 2018
K1 adversarial feature learning
K1 domain-invariant features
K1 sketch re-identification
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Information extraction
K1 Search engine architectures and scalability
K1 Adversarial retrieval
K1 Specialized information retrieval
K1 Multimedia and multimodal retrieval
K1 Image search
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision representations
K1 Image representations
K1 Computer vision problems
K1 Object identification
K1 Matching
K1 Applied computing
K1 Computer forensics
K1 System forensics
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Learning to rank
K1 Machine learning approaches
K1 Neural networks
K1 Computer graphics
K1 Image manipulation
K1 Image processing
K1 Ranking
K1 Surveillance mechanisms
K1 Evidence collection, storage and analysis
K1 Supervised learning by classification
SP 609
OP 617
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3240508.3240606
DO https://dl.acm.org/doi/10.1145/3240508.3240606
SF ELIB - SuUB Bremen

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