Comments (2)
Hi, thank you for your kind words. I don't know if I understand correctly, but the answer is probably no. You need to pre-train the model with supervision, and then you need to train on the labeled and unlabeled set jointly to discover the new classes.
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Hi, thank you for your kind words. I don't know if I understand correctly, but the answer is probably no. You need to pre-train the model with supervision, and then you need to train on the labeled and unlabeled set jointly to discover the new classes.
I got it, thanks a lot!
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Related Issues (14)
- License HOT 2
- How long does ImageNet experiments take? HOT 2
- How to implement the unconcat version? HOT 7
- Clarification question on num_large_crops HOT 2
- UNO_V2 results HOT 1
- The results on CIFAR10 HOT 2
- Issues with saving and loading checkpoints when using multiple gpus.
- a lot of questions about how to reproduce and cite the experimental results HOT 6
- Reproducing the paper results HOT 7
- Save inference images HOT 2
- swapped_prediction computation HOT 9
- A question about the Eq.4 HOT 2
- loss_per_head seems wrong HOT 2
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