Comments (2)
We have tried it, and token labeling also works for our t2t-vit, we will release such models in this repo and our T2T-ViT repo in the future.
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@zhaoguangxiang You can check the models here: https://github.com/yitu-opensource/T2T-ViT#2-t2t-vit-models
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Related Issues (20)
- not use distributed_train.sh
- The model parameters couldn't be downloaded. HOT 4
- A Bag of Training Techniques for ViT HOT 1
- Python3.6, ok; Python3.8, error HOT 1
- RuntimeError: CUDA error: device-side assert triggered HOT 4
- The accuracy of the validation set is 0,and the loss is always around 13 HOT 7
- label_map does not do the same augmentation (random crop) as the input image HOT 1
- How to print the output of the wrong prediction of validation dataset? HOT 10
- Can Token labeling reach higher than annotator model? HOT 1
- Could you please provide the training log ? HOT 5
- generate_label.py unable to find model lvvit_s HOT 2
- Pretrained weights for LV-ViT-T HOT 5
- Generating label for custom dataset HOT 2
- 关于TokenLabel的疑问 HOT 2
- BatchSize Specified HOT 2
- [ LV-ViT-S pretrained model ] HOT 1
- Model settings for Cifar10
- how to apply token labeling to CNN ?
- Dimension inconsistency of the token labels
- target_cls 部分代码有问题??
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