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Is the convolutional autoencoder described in section 5.1 of your paper completely unsupervised, or does it incorporate bounding box label info at the bottleneck layer like the main 3D semi-supervised model?
Is there a flag/command line argument to only run the autoencoder and not the entire semi-supervised model?
Is there a way to access the weights of your trained 3D bounding box or 2D autoencoder model without running the training ourselves?
Hello,
Couple questions:
Thanks,
Sanjeev