Comments (6)
Hi, in finetuning, the encoder is reloaded to ViT_Classifier where the masking is discarded.
from mae.
Yes, that is the same with the original MAE, although their implementation may be slightly different.
from mae.
Thank you for your reply!
Is this way same with the original MAE?
from mae.
Thanks a lot for your kindness.
However, I can not find where the masking function off.
Could you indicate where is it?
from mae.
Here we use the encoder from MAE to build the ViT_Classifier. In the __init__
and forward
here you can see anything except the masking is in use.
from mae.
I really appreciate it !
from mae.
Related Issues (20)
- Could you provide a one-dimensional MAE implementation in pytorch? HOT 1
- Why do the masks' positions on the visualized images are same? HOT 4
- The training loss is decreasing while the validation loss is increasing HOT 4
- Unable to reconstruct a distinguishable image HOT 5
- extracting embeddings HOT 1
- Turn off masking HOT 3
- What are the rules for setting the parameters of vit-tiny's decoder? HOT 1
- Fine-tuning and linear evaluation HOT 4
- What are the versions you worked with, keep getting errors HOT 2
- Need help for reconstracting your experiments HOT 2
- how to make the masked patches not random HOT 2
- 最后你得重建图像是怎么来的? HOT 2
- Suspected minor bug HOT 1
- resource requirement HOT 2
- Ask some questions HOT 8
- Custom masking HOT 11
- train_classifier HOT 1
- 权重读取后重建图像不理想
- Problem with embedding dimension HOT 1
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from mae.