Open xiaoxusanheyi opened 1 year ago
The above commands first use 30 epoch training with BEV feature distillation only to make the student model learn to generate reasonable BEV representations first and then use 10 epoch training with the complete training losses for detection optimization. And the second command will automatically run the eval process on the validation set. And the results given in the model zoo are obtained in the same way, you can compare them fairly.