PointNetVlad-Pytorch
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Recall@1% on Oxford is higher than that in the paper.
Thanks for your great work, the recall@1% on Oxford is higher than that in the paper, which is trained by the default config in your repository. Is it normal?
Thanks for your great work, the recall@1% on Oxford is higher than that in the paper, which is trained by the default config in your repository. Is it normal?
hi, I have the same issue, I trained evaluated the network by default and got 87.39% recall, do you have any idea about that? By the way, 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?