Question about the training on CAMERA dataset

[LSerene]

Thanks for the code sharing and the impressive work.

I am trying to train the code on REAL275 and CAMERA datasets by myself. I trained two networks by setting the dataset to Real and CAMERA in config.py. The result trained on REAL275 is good. However, the one trained on the CAMERA dataset did not seem well. The following are the results on CAMERA:

average mAP:
3D IoU at 25: 95.0
3D IoU at 50: 92.8
3D IoU at 75: 85.1
5 degree, 2cm: 61.9
5 degree, 5cm: 73.0
10 degree, 2cm: 71.1
10 degree, 5cm: 85.8
10 degree, 10cm: 87.3

I am wondering should the hyperparameters be adjusted for training the CAMERA dataset, or are there any other clues for this? Thank you so much!