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非常好的工作,在我的数据集的部分情况上表现不错,在CDLA的效果也可以(可能是训练集包含了?) 我比较好奇的是训练集的规模,我在考虑是否可以用于我的模型的预训练,以替代COCO的预训练参数 另外,在跨域的情况下,比如换到别的场景效果不好的情况有没有什么建议
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1、论文场景的权重因为和cdla是相似的,所以效果不错的; 2、论文场景开源的权重训练数据大概1w左右; 3、监督学习的任务跨域泛化能力本身不是很强,建议还是针对场景进行数据集标注吧。
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请问下报告场景的训练数据大概是多少呢
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非常好的工作,在我的数据集的部分情况上表现不错,在CDLA的效果也可以(可能是训练集包含了?)
我比较好奇的是训练集的规模,我在考虑是否可以用于我的模型的预训练,以替代COCO的预训练参数
另外,在跨域的情况下,比如换到别的场景效果不好的情况有没有什么建议
The text was updated successfully, but these errors were encountered: