Search Results for author:
Found 2 papers, 1 papers with code
Domain Generalization Using a Mixture of Multiple Latent Domains
Conventional methods assume that the domain to which each sample belongs is known in training.
Ranked #72 on
Domain Generalization
on PACS
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation
We utilize two classification networks to estimate the ratio of the target samples in each class with which a classification loss is weighted to adapt the classes present in the target domain.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
