Any suggestions for improving the effectiveness of the model, such as increasing the number of model parameters?

tusen-ai / SST

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

Apache License 2.0

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Any suggestions for improving the effectiveness of the model, such as increasing the number of model parameters? #183

Open 2anchao opened 7 months ago

2anchao commented 7 months ago

hello author: I find that fsdv2 model training occupy less memory, config is configs/fsdv2/fsdv2_nusc_2x.py, and I want use fsdv2 for autolabel, so do you have any suggestions on the model structure to improve the model, such as backbone choice or other module?