Comments (14)
You may need to modify config/cifar20_r18_byol.yml with the changing of parameters cluster_loss_weight and latent_std. I am running this setting, I will upload the pre-trained model and give you feedback as soon as possible.
from propos.
You may need to modify config/cifar20_r18_byol.yml with the changing of parameters cluster_loss_weight and latent_std. I am running this setting, I will upload the pre-trained model and give you feedback as soon as possible.
Thanks.
from propos.
This issue has been solved, and I have updated the pre-trained model in the download link and achieved the same results in my paper.
from propos.
What training parameters need to be changed if I use resnet34?
from propos.
Hi, I do not understand what you mean. Could you detail the problem?
from propos.
I simply change encoder_name to bigresnet34 in config/cifar10_r18_propose.yml but I got acc 53% (even worse than resnet18).
Is there any other config I need to change?
from propos.
Have you changed the num_devices
? I will check if the time is available.
from propos.
I trained Propos on 4 RTX 3090 GPUs. num_devices
is 4.
from propos.
You may need to change config/cifar20_r18_propos.yml
. The training looks like this:
from propos.
You may need to change
config/cifar20_r18_propos.yml
. The training looks like this:
This is not the result of CIFAR-20, I guess you upload wrong image. QwQ
from propos.
No, it is the result of R34 on CIFAR-10.
from propos.
So how can I train Propos on CIFAR-20 with resnet34?
from propos.
I do not understand which datasets you would like to train, since you mentioned you have changed the config/cifar10_r18_propos.yml; that is why I post the training on CIFAR-10. In addition, as I have said above, if you need to train on CIFAR-20, plz change config/cifar20_r18_propos.yml.
from propos.
Sorry. It's my typo. I want to reproduce your result on CIFAR-20 with resnet-34. Do I just need to change the encoder_name
in config/cifar20_r18_propose.yml
?
from propos.
Related Issues (18)
- About spherical k-means implementation HOT 2
- How to obtain the clustering result after training? HOT 3
- how to reproduce pcl HOT 2
- How to generate pseudo label for unlabeled data in STL-10 and use them in PSL term? HOT 1
- I can't get the results in the paper using the pretrained models you provided HOT 7
- How to train Propos on STL-10 dataset HOT 1
- Results on CIFAR10 with ResNet34 HOT 1
- Training speed of ImageNet-10 HOT 2
- About Performance on Imagenetdogs HOT 4
- Could u please share the config file for STL? HOT 2
- Got 65% ACC for BYOL on ImageNetdogs HOT 2
- About cifar10 performance on SimSiam HOT 5
- How to change parameters when num_device =2 HOT 1
- How to train ProPos on the STL-10 dataset?
- what does the memory data loader do in the basic_template.py? HOT 1
- Could you provide the pre-trained models for ProPos on ImageNet-1k, ImageNet-50/100/200 HOT 17
- Could you provide the config file for training Tiny-ImageNet?
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