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Hi @FelixZhang7 ! Can you point out what the difference between them? I think maybe I ignored it.
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@peteryuX insightface的resnet默认会把第一个7x7的卷积换成3x3,并去掉pool操作(人脸识别输入分辨率112x112比ImageNet小),另外当层数大于101时才使用先1x1再3x3再1x1的bottleneck结构,resnet50里面还是2个3x3卷积,还提出了一种称为IRblock对block进行改进,文章说更适合对人脸图片的训练了
Hi @FelixZhang7 , 感謝您提點我這些資訊,聽起來這些改動應該是會帶來性能上的提升。不過,我好像沒有在paper中看到相關的文字說明,請問我是不是遺漏了甚麼?
论文里边我也找不到了。。。不过很多复现acrface的网络都叫LResnet50E-IR
@FelixZhang7 , 還是謝謝您的提點,關於LResnet50E-IR的部分,我會嘗試實現並完善於這個項目中~ =)
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