opendilab/SmartRefine
[CVPR 2024] SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
PythonApache-2.0
Issues
- 5
- 11
Training time cost
#12 opened by Liwen-Xiao - 1
- 1
Some questions about p1_data
#15 opened by weekiiy - 1
About quality score
#13 opened by lon0862 - 3
explanation of parameter shapes
#11 opened by LongLiveForFreedom - 2
Can you the checkpoint for the SmartRefine?
#10 opened by lon0862 - 1
about the checkpoint for the net
#9 opened by Lukas88664 - 1
Comparison with QCNET on performance
#5 opened by ZhoubinXM - 2
p1_data_root的目录结构问题
#8 opened by Family-Liao - 6
- 4
ValueError: The provided lr scheduler "<torch.optim.lr_scheduler.CosineAnnealingLR object at 0x7b985d13d730>" is invalid
#6 opened by Family-Liao - 2
Training details
#3 opened by Harry333777 - 0
We would really like to invite you for a technology live about this paper~
#4 opened by autodriving-heart - 1
visualize
#2 opened by ygyakaguccigang - 1
About Argoverse2
#1 opened by Zbozhou