세미나 참여 신청은 아름다운재단 기부문화연구소 홈페이지와 이벤터스 홈페이지에서 할 수 있다.
Research on long-tailed classification robustness has suggested that balancing or removing data from overrepresented tasks or subgroups (opens in new tab) is an effective method for ensuring good performance. Nevertheless, these insights are not fully utilized or explored when it comes to training VLMs, which at times have favored scale over careful data balancing. To achieve our goals, we conducted a set of experiments to analyze a range of data ratios between our focus domains.
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Виктория Кондратьева (Редактор отдела «Мир»)