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MixFormerV2和MixFormer在模型结构上有哪些相同和不同呢?
The text was updated successfully, but these errors were encountered:
最主要的区别是预测head不同,v2不再采用之前的corner head, 而是通过添加4个可学习的token,通过在backbone中跟search和template tokens进行交互提取内容和位置信息,最后直接利用mlp head来预测top bottom left right四个位置。
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想请教一下,head在学习的过程中只能通过蒸馏来吗?
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MixFormerV2和MixFormer在模型结构上有哪些相同和不同呢?
The text was updated successfully, but these errors were encountered: