ScannetV2 for point cloud Classification get too high performace

[jumptiger66]

Thanks for your work!
When i use your code extract scannet dataset for 3D classification , I get 12060 examples for training and 3416 for testing. It seems that scannetv2 is different from scannetv1. However , when i train it with pointnet and pointnet++, I respectively get the best performance 89.34 and 90.35! It is higher than your paper's result.
Do anyone have the same founding with me? Is it normal phenomenon due to the Scannetv2 is easy to classify than Scannetv1(i guess that in 2018 , Scannet just release V1) or i make some mistakes which cause my dataset wrong?

Thanks for anyone's answer.
Best regards. ╰(°▽°)╯