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Thanks for your excellent work! I'm a beginner of this field. And I'd like to apply this network to my own dataset(indoor stereo images about chairs) . It's mentioned that this network has great generalize ability, does this mean that I should use the pre-trained model to train on my owndataset or just use my dataset for testing? Maybe I should use tranfer learning knowledge?
The text was updated successfully, but these errors were encountered:
If you just need some not very accurate results, directly use the pre-trained model for testing on your own data.
If you need accurate depth estimation, try to fine-tune the existing model with your own data.
Thanks for your excellent work! I'm a beginner of this field. And I'd like to apply this network to my own dataset(indoor stereo images about chairs) . It's mentioned that this network has great generalize ability, does this mean that I should use the pre-trained model to train on my owndataset or just use my dataset for testing? Maybe I should use tranfer learning knowledge?
The text was updated successfully, but these errors were encountered: