FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 copied to clipboard
过拟合问题
你好,我按照原代码的设置,用FeatherNetB在CASIA_SURF的原始数据集的深度图上进行训练和验证的时候发现训练集的accuracy和loss曲线是正常的,验证集上的accuracy是先升后降,loss是先降后升的,但是best模型的ACER值又能达到论文上面的精度,请问这个问题该怎么处理?
选择性能最好的
@LiangXiaoEr 您好 您能把数据分享一下吗
@S130111 你签个协议书发给CASIA_SURF的作者就行了
- Download, read the Contest Rules, and sign the agreement,link
- Send the your signed agreements to: Jun Wan, [email protected]