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Few questions about accuracy in the paper #63

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skrish13 opened this issue Mar 6, 2020 · 4 comments
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Few questions about accuracy in the paper #63

skrish13 opened this issue Mar 6, 2020 · 4 comments

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@skrish13
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skrish13 commented Mar 6, 2020

Hi,

Q1. You had mentioned that the results of your method in the paper are from a weaker backbone than the baseline RetinaNet (which was resnet50?) [44]. But your paper mentions that your base detector has backbone of resnet50 (Section 3.1, Page 3). Could you please elaborate on the details?

Q2. You also mentioned [4] that initially you trained from scratch and later started using the ImageNet pretrained, is the paper's (RetinaNet and Full Approach) numbers from the scratch training or ImageNet pretrained?

Thanks for your time in advance :)

@eg4000
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eg4000 commented Mar 8, 2020

Hi,

Q1. We originally used ResNet50 with a weaker FPN (less anchors and pyramid layers than RetinaNet)
Q2. We originally trained the "Full Approach" from scratch.

Regards,
Eran.

@skrish13
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skrish13 commented Mar 9, 2020

Ah! Cool! Thanks for quick and clear response :)

@skrish13 skrish13 closed this as completed Mar 9, 2020
@skrish13
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skrish13 commented Mar 9, 2020

Just a quick follow up @eg4000 , the trained weights given in [9] is similar to the RetinaNet wrt network and is trained from ImageNet weights?

@eg4000
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eg4000 commented Mar 9, 2020

yes

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