junjie18 / CMT

[ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
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I used 8 3090GPUs to reproduce the result, which was 2 lower than the official result. #79

Open xu19971109 opened 9 months ago

xu19971109 commented 9 months ago

I trained 20 epochs with the default configuration of the cmt_voxel0100_r50_800x320_cbgs.py.

My result is 65.0% | 69.4% and the official is 67.9% | 70.8%, which is about 2% lower than you.

image

image

Is there anything I'm missing?

junjie18 commented 9 months ago

@xu19971109 15e + 5e means the last 5 epochs should be trained without GTsample.

xu19971109 commented 9 months ago

@junjie18 Thank you, I reproduced your results!

rubbish001 commented 8 months ago

能不能把训练日志发我一下,liwenx@whu.edu.cn 训练太慢了,我第十轮是aAP 0.62,nds:0.685

rubbish001 commented 8 months ago

@xu19971109 15e + 5e means the last 5 epochs should be trained without GTsample.

能不能把训练日志发我一下,v299+1600*640,的,我只有4张3090,训练太慢了,哎

xu19971109 commented 8 months ago

我用的r50 800×320

---- 回复的原邮件 ---- | 发件人 | @.> | | 日期 | 2023年10月23日 16:30 | | 收件人 | @.> | | 抄送至 | @.>@.> | | 主题 | Re: [junjie18/CMT] I used 8 3090GPUs to reproduce the result, which was 2 lower than the official result. (Issue #79) |

@xu19971109 15e + 5e means the last 5 epochs should be trained without GTsample.

能不能把训练日志发我一下,v299+1600*640,的,我只有4张3090,训练太慢了,哎

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>

rubbish001 commented 8 months ago

@xu19971109 15e + 5e means the last 5 epochs should be trained without GTsample. 你第十五轮的val的精度多少,我的是NDS是70.8,mAP是0.65

CBY-9527 commented 7 months ago

@xu19971109 15e + 5e means the last 5 epochs should be trained without GTsample.

能不能把训练日志发我一下,v299+1600*640,的,我只有4张3090,训练太慢了,哎

CBY-9527 commented 7 months ago

@xu19971109 15e + 5e means the last 5 epochs should be trained without GTsample.

能不能把训练日志发我一下,v299+1600*640,的,我只有4张3090,训练太慢了,哎

您好,想了解一下4卡3090训练的话大概需要多久呢。