Thank you very much for the code on Git Hub. In paper 3.3 Backbone Training, you said "Instead of training the backbone with one regression head for a single scene, we train it with N regression heads for N scenes, in parallel." I'd like to know exactly how many scenarios this N represents using for parallel training. In addition to that, would you mind sharing how to select 100 scenarios in ScanNet? Very much looking forward to your reply.
Thank you very much for the code on Git Hub. In paper 3.3 Backbone Training, you said "Instead of training the backbone with one regression head for a single scene, we train it with N regression heads for N scenes, in parallel." I'd like to know exactly how many scenarios this N represents using for parallel training. In addition to that, would you mind sharing how to select 100 scenarios in ScanNet? Very much looking forward to your reply.