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使用预训练的模型,在lfw/agedb_30/cfp_ff这些验证数据集中进行了验证,精度确实都很高。但是当我自己构建相同人pair/不同人pair构建了两两为一组的数据集,并计算组内的两张图片之间的distance时,发现相同人和不同人的距离没有明显的一个大一个小的差别,这很奇怪?distance我尝试了多种方案,包含L2_dist、normed_L2_dist、angular_dist、cosine_dist,结果都是一样,没有度量性?这个不符合arcface损失函数设计的直觉
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使用预训练的模型,在lfw/agedb_30/cfp_ff这些验证数据集中进行了验证,精度确实都很高。但是当我自己构建相同人pair/不同人pair构建了两两为一组的数据集,并计算组内的两张图片之间的distance时,发现相同人和不同人的距离没有明显的一个大一个小的差别,这很奇怪?distance我尝试了多种方案,包含L2_dist、normed_L2_dist、angular_dist、cosine_dist,结果都是一样,没有度量性?这个不符合arcface损失函数设计的直觉
The text was updated successfully, but these errors were encountered: