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A new wrapped-loss stabilizes the network at large yaws.
Yaw prediction is divided into 120 3◦ bins covering the full range of yaws (−180◦,180◦].
Pitch and roll predictions are each made from 66 3◦ bins covering the range [−99◦,99◦], although
only the bins from [−90,90] are ultimately used.
Hey,
Can you share the loss function implementation which you use for your paper? I want to reimplement your paper.
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