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HI, from the paper, it seems you first train a model in synthetic dataset, then based on pretrained model, finetune in test dataset? So essentially, in testing, it's still a learning-based model, not optimization? Or when you do the inference, the model is optimized just for that particular video?
The text was updated successfully, but these errors were encountered:
HI, from the paper, it seems you first train a model in synthetic dataset, then based on pretrained model, finetune in test dataset? So essentially, in testing, it's still a learning-based model, not optimization? Or when you do the inference, the model is optimized just for that particular video?
The text was updated successfully, but these errors were encountered: