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cant reproduce the paper performance

Open bixiaopeng0 opened this issue 2 years ago • 8 comments

Could you provide a training environment? thanks

bixiaopeng0 avatar Dec 07 '22 03:12 bixiaopeng0

me too, only get about ~18 on Car AP40 using the config in the repo

YinengXiong avatar Mar 16 '23 08:03 YinengXiong

Me too, is there any way to reproduce a better result?

Chenchenwenyu avatar Mar 18 '23 03:03 Chenchenwenyu

The same to me, can reproduce the performance posted in the paper. The provided checkpoint can't be loaded to initialized the model for inference.

yexiguafuqihao avatar Mar 31 '23 06:03 yexiguafuqihao

My apology for this. This repo contains only an intermediate version of MonoDETR. Our paper, MonoDETR, is still under review, but has been intentionally plagiarized by several times in character level, submitting to NeurIPS, CVPR, and other conferences. Given this, we plan to release the complete code after our paper been accepted. Thanks for your understanding.

ZrrSkywalker avatar Mar 31 '23 06:03 ZrrSkywalker

Hello, i see your article has been accepted by CVPR, will you release the complete code?~

pummi823 avatar May 10 '23 09:05 pummi823

@pummi823 Hi Thanks for your interest. Our paper is still under review :).

ZrrSkywalker avatar May 10 '23 09:05 ZrrSkywalker

Thanks for your waiting @yexiguafuqihao @YinengXiong @bixiaopeng0 @pummi823 The more stable code of MonoDETR has been released.

ZrrSkywalker avatar Aug 26 '23 11:08 ZrrSkywalker

Me too, is there any way to reproduce a better result?

Hello, I am reproducing the training results of the paper, but when I use a single 3090 for training according to the requirements in the paper, it prompts that the CUDA memory is out. What is the reason? Looking forward to your reply, thank you!

KotlinWang avatar Oct 06 '23 16:10 KotlinWang