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您好作者!关注你们团队的研究很久了,非常感谢你们的作品,收获很多!
以resnet18为backbone、并使用数据集原始标注进行训练,我已经成功复现了89.99% acc的结果。
但是对于FERPlus,同样resnet18以作为backbone、使用相同参数的情况(batch size = 32 、learning rate = 0.0002、lambda = 5、epoch = 60、随机种子不变),使用除contempt以外的7类进行训练、测试,仍然无法复现论文中的 89.64% 的结果(我的结果仅为 85.8392%)。 我查阅了论文,似乎并没有提到训练FERPlus的具体参数、随机种子等设置,请问如何才能复现论文中的结果?
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您好作者!关注你们团队的研究很久了,非常感谢你们的作品,收获很多!
以resnet18为backbone、并使用数据集原始标注进行训练,我已经成功复现了89.99% acc的结果。
但是对于FERPlus,同样resnet18以作为backbone、使用相同参数的情况(batch size = 32 、learning rate = 0.0002、lambda = 5、epoch = 60、随机种子不变),使用除contempt以外的7类进行训练、测试,仍然无法复现论文中的 89.64% 的结果(我的结果仅为 85.8392%)。
我查阅了论文,似乎并没有提到训练FERPlus的具体参数、随机种子等设置,请问如何才能复现论文中的结果?
The text was updated successfully, but these errors were encountered: