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question about detector and discriptor #34
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Not really, you might get some improvement by updating the backbone. |
Vgg19 features tend to be precisely localizable, which is good. See e.g. the ablation in roma. But its usually worse for global matching. You may also want to have a look at more modern backbones not trained on imagenet |
and i have one more question. In web-ui code, there is https://github.com/Parskatt/DeDoDe/releases/download/dedode_pretrained_models/dedode_descriptor_B.pth urls for getting the descriptor model. But when i get there, there is no file. I cannot find the file. Can i get the descriptor training recipe? and there is descriptor_L file, too? |
Sorry, there is file. But, there is no directory of https://github.com/Parskatt/DeDoDe/releases. |
Correct, those are just files. Code for training models can be found in the experiments folder of the repo. |
Is there a reason why discriptor and detector used VGG19 network architecture? Not using ResNet or other network architecture
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