Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform well in another.

Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform ...

Unsupervised domain adaptation has provoked vast amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach have achieved sound performance for ...

A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was published by researchers at Infineon Technologies, University of Padova and ...