Comments (2)
That is by no mean comparison. It is a kind of validation and sanity check if training works properly.
Why off? Because according to the experiments, it is beneficial to learn ori and aff separately.
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Thank you for answering me! I will close it.
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Related Issues (20)
- nmsed_resp HOT 6
- Exact_Pacthes HOT 8
- Comparison to vl_covdet() HOT 1
- AffNetFastFullAff architecture missing HOT 2
- Is the experiments of Oxford Dataset retrieval task using BoW available? HOT 3
- Does the hardnet part need to retrain after affnet part finished? HOT 6
- Question about evaluating the model on roxford dataset HOT 11
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- About train_OriNet_test_on_graffity.py HOT 1
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- About the version of the python and pytorch HOT 2
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