Comments (1)
1.The weight is transferred from official weight. Beacuse of the environment, the accuracy maybe a little bit different.
2. ViT-Base is trained with 384x384. While DeiT-S is trained with 224x224. Please be more careful.
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Related Issues (20)
- Positional Embedding HOT 2
- Welcome update to OpenMMLab 2.0
- Distillation 文件夹在哪呢? HOT 1
- loss is always nan HOT 1
- can you told me which code can generate figure 1 in paper? HOT 1
- Experimental results reproducibility issues HOT 1
- Implementation of non-target mask HOT 3
- Training DeiT + NKD with ViTKD HOT 3
- I don't understand where "Normalized" is reflected or special in the NKD code? HOT 2
- 在CIfar100上复现resnet18, USKD方法的问题 HOT 4
- Dataset question
- About DeiT-Tiny model in your experiment for ViTKD
- 训练
- Cifar100 dataset question HOT 6
- Question about ViTKD loss code HOT 5
- About the ratio between Lori and Lsoft HOT 1
- Questions on masked area
- Can you provide the detection code? HOT 1
- nkd.py line42-line46 HOT 4
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