-
Hi,
the model loaded from tf2 saved_model checkpoints does not have "projection_output" in its outputs. While according to the README, it should have.
-
(pytorch) yrq@ssk-Linux:~/myproject/SimCLRv2-Pytorch$ python verify.py r50_1x_sk0.pth
Traceback (most recent call last):
File "/home/yrq/myproject/SimCLRv2-Pytorch/verify.py", line 71, in
…
-
Great work and thank you for sharing the code.
I noticed that in the distillation stage, you initialize your student model with SSL weights learned by SimCLRv2. I am wondering why not use the full…
-
Hi, thanks so much for the great work, it is really interesting and inspiring. I wonder if you will provide the implementation and/or pretrained weight for the unsupervised saliency model, so that we …
-
After reading your paper and amazed by model performance, I have problem in understanding the specific methods in stage two. I know little about representation learning. And the paper doesn't explai…
-
Hi,
I was wondering if the self-distillation models are also made available? I was looking into the [distill_1pc](https://console.cloud.google.com/storage/browser/simclr-checkpoints/simclrv2/distil…
-
Hi,
Thanks for sharing your code. I have couple of questions regarding the provided command and the results of SimCLRv2 trained on various epochs.
[1] In the ReadMe file, it is said that running…
-
Hello SimCLR contributors! Thank you so much for sharing your implementation with the broader research community. I wanted to ask about some problems I've been having reproducing the CIFAR10 results r…
-
Hi -- I was wondering if it would be possible to include the projection head (for the SimCLR objective) in the model checkpoints? The current checkpoints only seem to include the supervised projectio…
-
I just want to make sure I'm using the right hyperparameters with resnet 50. Following the paper, the learning rate should be 0.1 and warm-up epochs should be 40 = 800*5%, right ?
Thank you