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pro vyhledávání: '"Jiangming Shi"'
Publikováno v:
ACM Multimedia
In this paper, we propose an invariant learning method for facial landmark mining in a self-supervised manner. The conventional methods mostly train with raw data of paired facial appearances and landmarks, assuming that they are evenly distributed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d5b0feb2e2c53eb668f90adb19db0b3
https://doi.org/10.1145/3474085.3475582
https://doi.org/10.1145/3474085.3475582
