Open chaoxingxi opened 3 years ago
The whole joint-training pipeline is optimized by self-supervision, as defined in Eq. (1) in our paper. Could you please clarify your question?
As stated in your paper, use data with segmentation for unsupervised training. At the beginning of training, do the weights of the DispResNet, EgoPoseNet and the ObjPoseNet use randomly initialized initial values? Or use supervised learning to train the weights, and then use the unsupervised framework to fine-tune? Thank you ~
How are the pre-training weights of each sub-network obtained? How are the sub-networks supervised learning?