qq456cvb/KeypointNet

Question about training strategy

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As for the training process on the KeypointNet dataset, should I train my model for each class one by one? Or can I train it on the whole dataset?

Currently, our released code trains the model for each class one by one considering intra-class consistency. However, it should be straightforward to train a universal network (by setting number of keypoints to the maximum among classes).

Got it, thanks a lot!