Comments (1)
Hi, you're correct. S' is not used in the detector loss function. Since we use a siamese network to train the local descriptor and detector, our model will produce the score maps for both P (S) and P' (S') no matter if they are used during training.
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Related Issues (12)
- Monocular Relocalization HOT 1
- Input & output node names HOT 4
- hello, I meet a problem.I use RTX4080,with docker and cuda10.1, tf1.9.0,and I meet the flowing issue: HOT 1
- Hello,It's a nice work,can the process of training be resumed?I meet the warning" If you want to resume old training, either use `AutoResumeTrainConfig` or correctly set the new starting_epoch yourself to avoid inconsistency.",But I don't know how to change the world
- what kind of graphics driver do you use? HOT 2
- Evaluation results are different from the paper HOT 2
- Change the number of input points HOT 2
- Question about model runtime and relocalization process HOT 1
- Why are there two separate models for local/global descriptor? HOT 5
- Error running code HOT 1
- Point Cloud Retrieval for DSO HOT 1
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