这个实验研究了身份分离度对于精度的影响。虽然身份分离度的重要性是共识，但是目前为止并未有工作来验证它的真实性。因此，我们控制了数据集种身份与身份之间的平均相似度来进行消融实验。结果显示，高的分离度会大幅降低最终识别模型的性能，而过低的分离度也无法持续 ...

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