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[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

License: MIT License

3d-object-detection 3d-scene-understanding autonomous-driving collaborative-learning communication-networks computer-vision deep-learning graph graph-learning knowledge-distillation multi-agent-learning multi-agent-perception multi-agent-system point-cloud-processing v2v v2x-communication

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disconet's Issues

Is there a problem with the given checpoints file？

When I want to train the Disconet model, I transferred the /checkpoints/det/upperbound/no_rsu/epoch_100.pth to the teacher model, but the error "no valid check point file in logs dir, weights not loaded" is reported when running. Is there a problem with the provided. pth file? If not, how to solve it

Question about running train_codet.py

Hi, thanks for your excellent work!
When I run command make make train_disco, I got the following error:
image
and the error is:
image
The dataset is the V2X-Sim2.0(parsed) provided by https://github.com/ai4ce/DiscoNet
image
In the V2X-Sim2.0(parsed) is:
image

My system is Ubuntu 22.04 , and python version is 3.7.16.
My cuda version is 11.2
Could you tell me what the problem is?

3D object detection

Hi, thank you for your good job!
I noticed that DiscoNet is implemented on a one-stage 3D object detection model, have you conducted it on a two-stage 3D object detection model?

How can I train the teacher model ?

If I don't want to use the pretrained teacher model, then I just have to set kd_flag to zero, right? But I ran into an error when I did like that. Or the teacher model just can't be trained?

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