deep-head-pose
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natanielruiz
do you have special training strategies? error:Yaw: 8.7961, Pitch: 6.7705, Roll: 5.8057, my training models can not reach your results as paper said
below is my best results. resnet_multi-loss: Test error in degrees of the model on the 1969 test images. Yaw: 8.7961, Pitch: 6.7705, Roll: 5.8057
resnet50 only: Test error in degrees of the model on the 1969 test images. Yaw: 15.6866, Pitch: 7.1914, Roll: 6.2253
Not really. I used the exact code that is online to achieve the results in the paper. Try to monitor your validation loss and do early stopping when it is minimal.
thank you for your reply!!! I use batch_size of 64, maybe this will decress the accuracy?
One more question, I validate AFLW2000 during training every epoch, but it get different results as I test AFLW2000 just using testing code with the same model, I check the weight is the same and I have set model.eval(), do you know why I get such difference?
@maliho0803 .hello, I want to know what the parameters of your training are. I still have 10 losses. And the loss is still very volatile. thank you.
