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Is the loss trend normal? #15
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hi, I have the same question, do you have any idea about that? thanks! |
The place recognition task adopted the triplet loss and Hinger loss to backpropagate the parameters. The zero-loss means that the distance between the anchor and positive point cloud in this tuple is already less than the anchor and negative point cloud. |
thanks a lot! If you don't mind, I have another question: I find in the file "train_pointnetvlad", the global variable "HARD_NEGATIVES={}" is never updated which means it is useless, is there something wrong here? |
Yes, if you just follow the default settings, it will never be updated |
@mikacuy Hi,mika. First of all, thanks for your great work. I'm new to place recognition tasks and trying to retrain your network as a tutorial. I used to retrain some other networks and the losses go almost down directly while the loss defined in your network keeps going up and down. Here is a screenshot which I log out the batch losses. So does it go the right way as you did before? Tell me if I miss any details. Thanks
Claude Cui
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