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Autor:
Ziyao Huang, Yepeng Weng, Xiaoyue Mi, Ke Gao, Xiaoya Li, Zhengze Yu, Juan Cao, Boyang xia, Lei Li
Publikováno v:
CVPR
Single domain generalization is a challenging case of model generalization, where the models are trained on a single domain and tested on other unseen domains. A promising solution is to learn cross-domain invariant representations by expanding the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83efbfda82372c5f68619f871d3caa9b