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MCLDA: Multi-level Contrastive Learning for Domain Adaptive..:

, In: Proceedings of the 12th International Symposium on Information and Communication Technology,

Duong, Ngo-Kien ; Nguyen, Thi-Oanh ; Dinh, Viet-Sang - p. 343-350 , 2023

Link: https://dl.acm.org/doi/10.1145/3628797.3628938

RT 
T1 <cTitle>Proceedings of the 12th International Symposium on Information and Communication Technology</cTitle>: T1 <Title>MCLDA: Multi-level Contrastive Learning for Domain Adaptive Semantic Segmentation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3628938&Exemplar=1&LAN=DE
				
A1 Duong, Ngo-Kien
A1 Nguyen, Thi-Oanh
A1 Dinh, Viet-Sang
PB ACM
YR 2023
K1 Multi-level Contrastive Learning
K1 Self-learning
K1 Unsupervised Domain Adaptation
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
K1 Computing methodologies
K1 Machine learning
K1 Machine learning algorithms
K1 Regularization
K1 Machine learning approaches
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Image segmentation
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Semi-supervised learning
SP 343
OP 350
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3628797.3628938
DO https://dl.acm.org/doi/10.1145/3628797.3628938
SF ELIB - SuUB Bremen

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