Comments (3)
How was the result for the CORe50 with frozen parts? (Question 1)
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All experiments (CIFAR100, ImageNet-R, 5-datasets) used Adam as the optimizer,
but CORe50 also used SGD, so I conduct experiments with different freeze parts and optimizer on official Jax code.
Here are the results of experiments on my environment
Freeze | Optimizer | Acc@1 |
---|---|---|
Yes | Adam | 75.06 |
Yes | SGD | 63.75 |
No | Adam | 18.07 |
No | SGD | 77.90 |
Freeze "Yes" means freeze same as CIFAR100 setting, config.freeze_part = ["encoder", "embedding", "cls"]
,
"No"means config.freeze_part=[]
CORe50 config.
And No & SGD (last row) setting is the same as the original CORe50 config.
If you have any additional comments, please feel free to let me know.
Best,
Jaeho Lee.
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Hi @JH-LEE-KR , did you find an answer to the positional encoding question? I'm implementing L2P on another pre-trained backbone and wondering if position encoding is to be applied, where is it to be applied (before concatenating the prompts or after) and whether I should apply it to only the image tokens or to the prompts as well?
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