[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
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why there is no hyper-parameter before Loss-focal and Loss-position when calculating Loss-instance-match? and using manhattan instead of euclidean distance? #127
Dear authors,
I have two simple questions:
1) why there is no hyper-parameter before Loss-focal and Loss-position when calculating Loss-instance-match? I believe the magnitude of loss-position is much larger than loss-focal.
2) why using manhattan instead of euclidean distance? it seems to me it is more proper to use euclidean
Thanks
George
Dear authors, I have two simple questions: 1) why there is no hyper-parameter before Loss-focal and Loss-position when calculating Loss-instance-match? I believe the magnitude of loss-position is much larger than loss-focal. 2) why using manhattan instead of euclidean distance? it seems to me it is more proper to use euclidean Thanks George