Comments (8)
xisi789
commented on August 16, 2024
No description provided.
你解决这个问题吗，我也遇到类似的了
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Dian-Yi
commented on August 16, 2024
No description provided.
你解决这个问题吗，我也遇到类似的了
你数据集规模是多大的？我当前20万的人脸已经能训正常，不过400万的脸的不正常
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xisi789
commented on August 16, 2024
十万的ID和六百万的人脸
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Dian-Yi
commented on August 16, 2024
十万的ID和六百万的人脸
看来脸多了得要预训练模型慢慢调调，我没用预训练模型，训到一半每个类求得cosin角度都是接近与1，也不知道不知道什么原因造成得？
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Dian-Yi
commented on August 16, 2024
十万的ID和六百万的人脸
你用得什么数据集？这么大？
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xisi789
commented on August 16, 2024
几个数据集拼在一起的，能调什么呢，我调学习率已经没啥用了
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Dian-Yi
commented on August 16, 2024
几个数据集拼在一起的，能调什么呢，我调学习率已经没啥用了
m和scale,加个imagenet得预训练模型再试试
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xisi789
commented on August 16, 2024
我调小调大m训练情况更差了
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Related Issues (20)
- 训练时loss损失一直不变，希望指点一下 HOT 3
- AdaCos的问题 HOT 3
- The Predictions of Landmarks is not accurate at all HOT 1
- UMDFaces Dataset
- SV-X-Softmax的.cu文件
- 关于cosin_add_m_layer的实现 HOT 1
- mnist的例子
- 关于CosinAddmLayer和combined_margin_layer的疑问
- softmax计算
- Did anyone try AdaCos? HOT 2
- 为什么loss为87.33，accuracy为1？ HOT 2
- 关于adacos中的m HOT 1
- Compile on ubuntu
- Optimizer
- 训练过程精度较高，测试的时候精度确不高？
- 卷积层是否使用偏置 bias_term
- pose = pose * 90.0是出来的pose要旋转的意思吗？
- accuracy_hat_arc不超过0.6，损失处于1.5
- Is it mandatory to use Nvidia GPU, can we use OpenCL instead?
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