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This repository has been archived by the owner on Jul 21, 2021. It is now read-only.
I trained your deform-conv on the origin data. It gets 70% on origin test and 89% on scaled data, while the the normal CNN model trained on origin data gets 99% on origin test and 64% on scaled data. The deform-conv may not work.
So I try to delete two of the deform-conv, keep one left. It gets 93% on origin test and 97% on scaled data.
Your deform-conv may not work. I think you should check it.
The text was updated successfully, but these errors were encountered:
BearManlc
changed the title
The deform-conv layers reduce the、
The deform-conv layers reduce the detection accuracy
Jul 13, 2020
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I trained your deform-conv on the origin data. It gets 70% on origin test and 89% on scaled data, while the the normal CNN model trained on origin data gets 99% on origin test and 64% on scaled data. The deform-conv may not work.
So I try to delete two of the deform-conv, keep one left. It gets 93% on origin test and 97% on scaled data.
Your deform-conv may not work. I think you should check it.
The text was updated successfully, but these errors were encountered: