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Published 20 hours ago • verified publisher icon yifanzhang713

Effect of gt_sampling

Open Eaphan opened this issue 3 years ago • 1 comments

Thanks for your sharing. When I train without gt sampling augmentation, I noticed the performance in moderate class drop from 83.4 to 77.11. As the gt sampling doesn't affect other methods like voxel r-cnn and pv_rcnn so obviously, can you explain this phenomenon?

Eaphan avatar Jun 15 '22 02:06 Eaphan

Hi @Eaphan , very thanks for your following.

I think your finding is very illuminating. Although I have not tried this analysis experiment, I guess it is related to the representation ability of the model. After all, PV-RCNN and Voxel-RCNN are both two-stage frameworks, which will have more advantages in feature learning.

Hope this can help you.

yifanzhang713 avatar Jun 16 '22 16:06 yifanzhang713