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Thank you for sharing your work. I have one question:
There are 2 checkpoints for GCN, model_gcn and model_gcnwild. What is the difference between the two? I notice that model_gcn is used for H36M evaluation and model_gcnwild is used for MuPoTs. Is it because H36M and MuPoTs have different keypoints definition?
The text was updated successfully, but these errors were encountered:
The major reason there are two checkpoints for GCN (model_gcn and model_gcnwild) is that model_gcn is trained on H36M training set only, and model_gcnwild is trained on training+testing sets of H36M. A second reason is that model_gcn used unnormalized skeleton and model_gcnwild used normalized skeleton because the normalized skeleton setting is more suitable for wild videos and the unnormalized skeleton works better on H36M dataset.
Thank you for sharing your work. I have one question:
The text was updated successfully, but these errors were encountered: