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dvlab-research / VoxelNeXt

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
https://arxiv.org/abs/2303.11301
Apache License 2.0
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IoU related loss #41

Open DezeZhao opened 1 year ago

DezeZhao commented 1 year ago

Hi, yukang @yukang2017, yanwei @yanwei-li, I am confused about the iou related loss you used in dense head(IoULossSparse and IoURegLossSparse). I reproduce your model on my devices, but I find IoURegLossSparse does not seem to going down, it keeps almost the same value in the training process. I use IoURegLoss in another model, I trap into the same problem(not decrease). Could you please show me your intention to use the loss?

Additionally, why use IoULossSparse and IoURegLossSparse repsectively? I can't understand the purpose of their use. Looking forward to your reply, thank you.

Best regards. deze

Gorazor commented 10 months ago

Have the same question too! why use IoULossSparse and IoURegLossSparse repsectively