Partial domain adaptation for scene classification from remote sensing imagery
Although domain adaptation approaches have been proposed to tackle cross-regional,
multitemporal, and multisensor remote sensing applications since they do not require any …
multitemporal, and multisensor remote sensing applications since they do not require any …
Multidomain adaptation with sample and source distillation
Unsupervised multidomain adaptation attracts increasing attention as it delivers richer
information when tackling a target task from an unlabeled target domain by leveraging the …
information when tackling a target task from an unlabeled target domain by leveraging the …
Selective Adversarial Adaptation Learning via Exclusive Regularization for Partial Domain Adaptation
In consideration of the suitability for the application scenario, partial domain adaptation is
more significant and more valuable than traditional domain adaptation. Most existing partial …
more significant and more valuable than traditional domain adaptation. Most existing partial …
Deep Neural Networks for Multi-Source Transfer Learning
K Li - 2022 - opus.lib.uts.edu.au
Transfer learning is gaining incredible attention due to its ability to leverage previously
acquired knowledge from source domain to assist in completing a task in a similar target …
acquired knowledge from source domain to assist in completing a task in a similar target …