mit-han-lab / bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
https://bevfusion.mit.edu
Apache License 2.0
2.37k stars 428 forks source link

Performance is worse while training #582

Closed 186big closed 4 months ago

186big commented 11 months ago

Thank u for your great job. I use your code and pretrained model to train a Lidar + Camera detection model in Nuscene dataset , but the more epochs I trained, the worse it got. The loss is lower But the map is lower too. image

971022jing commented 11 months ago

Thank u for your great job. I use your code and pretrained model to train a Lidar + Camera detection model in Nuscene dataset , but the more epochs I trained, the worse it got. The loss is lower But the map is lower too. image hello,have you solved the problem?

186big commented 11 months ago

Thank u for your great job. I use your code and pretrained model to train a Lidar + Camera detection model in Nuscene dataset , but the more epochs I trained, the worse it got. The loss is lower But the map is lower too. image hello,have you solved the problem?

sorry, not yet

Li-Whasaka commented 10 months ago

using full dataset?

186big commented 10 months ago

using full dataset?

Yes

Acc2386 commented 5 months ago

same problem, have you salved this?

zhijian-liu commented 4 months ago

Thank you for your interest in our project. This repository is no longer actively maintained, so we will be closing this issue. Please refer to the amazing implementation at MMDetection3D. Thank you again!