Comments (4)
Hi, I have not included the code for fine-tuning on 1% and 10% of labels in this public repo as it is quite similar to regular ImageNet training. I can add the code for finetuning if that helps you in the following days.
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eval_linear.py
is for linear probes only (not fine-tuning)
from swav.
Hi, I have not included the code for fine-tuning on 1% and 10% of labels in this public repo as it is quite similar to regular ImageNet training. I can add the code for finetuning if that helps you in the following days.
Yes that would be great. Thanks for the quick response and clarification.
from swav.
from swav.
Related Issues (20)
- Degraded DCv2 Training Loss
- [Discussion] Can I use DeepClusterV2 for the sole purpose of learning to cluster unlabelled dataset? HOT 1
- Is it possible to use a pretrained ResNet50 for SWAV for custom dataset? HOT 2
- A question about dataloader setting : `shufflu`? HOT 2
- How can I load DeepCluster-v2?
- instability with prediction while using resnet 50 pretrained model HOT 1
- About the format of dataset
- image segmentation
- question of loading pre-trained model in eval_linear.py and eval_semisup.py
- how to prepare the training data? HOT 1
- urllib.error.HTTPError: HTTP Error 403: Forbidden
- How to get the correct answer
- About SwAV_ver2
- ImageNet pretraining size
- About Loss function. HOT 1
- A question about batch_size and nmb prototypes HOT 1
- Slow Training with Swav on 2 GPUs using torch.distributed HOT 1
- About the loss HOT 1
- Missing "resnet50w5" linear config in eval_linear.py
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