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Why there are 15 MPIIGaze trained models? #11
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您好,我和你一样的疑问,请问你解决了吗 |
Since we use k-fold cross validation for MPIIFaceGaze dataset with k=15. |
Hello, can you guide me on how to reason? |
We use 15-fold cross-validation to evaluate L2CS-Net on the MPIIFaceGaze dataset. The model is trained on data from all 15 subjects except one, which is held as the test set. This procedure is repeated in such a way that each subject is used as a test subject once, ensuring that the evaluation covers the variability between different individuals in a comprehensive way. so we have 15 models |
First of all thanks Ahmed for the work. Here the question:
Why there are 15 MPIIGaze trained models and not just one as with the Gaze360 Dataset? And in this case how should the inference be performed?
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