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Hi, thanks for great works.
I have some question, if only eye, eyebrow, nose part for training, accuracy is increasing? my concern is large pose and occlusion image make some problem like lower performance even if using resnet101. Do u have some idea? If I using multiple dataset, will it be good?
thanks
The text was updated successfully, but these errors were encountered:
Hi, if only train with thses parts, I guess the accuracy may increase a little because the boundaies are usually more difficult. But you may need to tune the hyperparameter, especially the number of neighbors. Since you have less number of landmarks, you need to try a smaller number of neighbors, e.g., 5. With more datasets, I think it will alleviate the large pose and occlusion problem. You may try it.
Hi, thanks for great works.
I have some question, if only eye, eyebrow, nose part for training, accuracy is increasing? my concern is large pose and occlusion image make some problem like lower performance even if using resnet101. Do u have some idea? If I using multiple dataset, will it be good?
thanks
The text was updated successfully, but these errors were encountered: