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This repository was archived by the owner on Jan 1, 2025. It is now read-only.
I have tried many ways to reproduce your method, but the results always much different from those in the paper. For full model with the pose loss, the results are 19.214mm for known hands and 19.756mm for unknown hands. Can you provide more details for training?
Did you adopt some learning schedulers during training?
Could you provide sepcific hyper-parameters in data augmentation?
Whether you use only 2-view images for training?
Needn't you compute the mean of the first item of the pose loss in eq4?
Did you direct sum the pose loss of known hands and unknown hands without any hyper-parameters?
I have tried many ways to reproduce your method, but the results always much different from those in the paper. For full model with the pose loss, the results are 19.214mm for known hands and 19.756mm for unknown hands. Can you provide more details for training?