Изображение: Екатерина Чеснокова / РИА Новости
澳洲学者评中东局势：所有冲突都与我们息息相关
。易歪歪对此有专业解读
Иллюстрация: Виктор Антонюк / РИА Новости
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.
19:07, 2 апреля 2026Научно-технический раздел
感知链序列：模型将实例分割序列化为结构化流程，迫使其在生成像素级掩码前，将空间位置和尺寸解析为条件信号。