The problem of evaluation in voxelrcnn about voxel-r-cnn HOT 3 OPEN

Pedestrian AP R40 0.50，0.25，0.25:
bbox AP:66.9831，62.2371，58.6492
bev AP:71.4642，66.1941，62.7137
3d AP:71.3018，66.0044，62.0395
aos AP:63.38，58.13，54.34
Cyclist [email protected]，0.5，0.50:
bbox AP:61.9180，44.2106，44.0043
bev AP:60.6828，42.3162，42.1287
3d AP:59.9721，41.8940，41.4805
aos AP:61.20，43.58，43.30
Cyclist AP [email protected]，0.50，0.50:
bbox AP:60.7131，45.4572，43.1140
bev AP:59.6068，41.2654，39.0192
3d AP:56.9525，40.6235，38.4517
aos AP:59.99，44.54，42.20
Cyclist APa0.50，0.25，0.25:
bbox AP:61.9180，44.2106，44.0043
bev AP:61.2402，43.0665，42.6762
3d AP:61.2402，43.0665，42.6762
aos AP:61.20，43.58，43.30
Cyclist AP [email protected]，0.25，0.25:
bbox AP:60.7131，45.4572，43.1140
bev AP:60.1226，43.8350，41.5723
3d AP:60.1226，43.8350，41.5723
aos AP:59.99，44.54，42.20

from voxel-r-cnn.

This is the result of running on the server，The two classes pedestrian and cyclist perform extremely worse than experiment on the local，What is the reason for this difficulty。The experimental setup is the same,batch_size is 2 ，epochs are 80.

from voxel-r-cnn.