25 citations · 40 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 25 cited
Domain Generalization Using a Mixture of Multiple Latent Domains
Toshihiko Matsuura, Tatsuya Harada
When domains, which represent underlying data distributions, vary during training and testing processes, deep neural networks suffer a drop in their performance. Domain generalizat…
cs.LG2018★ 15 cited
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation
Toshihiko Matsuura, Kuniaki Saito, Tatsuya Harada
The task of unsupervised domain adaptation is proposed to transfer the knowledge of a label-rich domain (source domain) to a label-scarce domain (target domain). Matching feature d…