Improved spacing around \cdot
Signed-off-by: Jim Martens <github@2martens.de>
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@ -488,7 +488,7 @@ Bayesian SSD has the speciality of multiple forward passes. Based
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on the information in the paper, the detections of all forward passes
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on the information in the paper, the detections of all forward passes
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are grouped per image but not by forward pass. This leads
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are grouped per image but not by forward pass. This leads
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to the following shape of the network output after all
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to the following shape of the network output after all
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forward passes: \((batch\_size, \#nr\_boxes \cdot \#nr\_forward\_passes, \#nr\_classes + 12)\). The size of the output
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forward passes: \((batch\_size, \#nr\_boxes \, \cdot \, \#nr\_forward\_passes, \#nr\_classes + 12)\). The size of the output
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increases linearly with more forward passes.
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increases linearly with more forward passes.
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These detections have to be decoded first. Afterwards they are
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These detections have to be decoded first. Afterwards they are
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