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Do I understand correctly that in practice for existing configs, only
ROIWeakRegHeadends up used? (so box_head isn't used) -
Do I understand correctly that ROI-pooling is done only once and that student models reuse the computed ROI-features?
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Do I udnerstand correctly that only a single Pooler scale used at both train and test time?
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How do you handle background class in WSDDN computation? Do you take into account background scores in softmax over classes in classification branch?
Thank you!
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