Triplet Loss Network for Unsupervised Domain Adaptation

Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap between different domains by transferring and re-using the knowledge obtained in the source domain to the target domain. Many methods have been proposed to resolve this problem, using techniques such as...

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Bibliografiset tiedot
Päätekijät: Imad Eddine Ibrahim Bekkouch, Youssef Youssry, Rustam Gafarov, Adil Khan, Asad Masood Khattak
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2019-05-01
Sarja:Algorithms
Aiheet:
deep learning
computer vision
domain adaptation
transfer learning
adversarial loss
linear discriminant analysis
representation learning
Linkit:https://www.mdpi.com/1999-4893/12/5/96
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