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Does it happen at the beginning of the training (in the validation sanity check)? If so, I think it is expected because the model is not trained, and it makes some random predictions. However, if it happens after some training, it probably means that your training has failed because after a few epochs model converges into a point where it makes reasonable predictions.
P.S.: I'm not an author of the paper; I just know the code and the repository.
When I training nuscense dataset,it display issue :There are a lot of detected instance centers: torch.Size([4377, 2])
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