Стало известно о планах ЕС запретить въезд в Европу семьям участников СВО02:28
- USE_GENERIC_CACHE=true
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Высшую меру наказания террористам из «Крокуса» захотели оспорить14:59
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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.。业内人士推荐whatsapp作为进阶阅读
This story was originally featured on Fortune.com