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mfigurnov avatar mfigurnov commented on July 18, 2024 1

@ZhuFengdaaa I've published the ResNet v2 101 model that we used as an initialization for the ACT/SACT models: https://s3.us-east-2.amazonaws.com/sact-models/imagenet_101.tar.gz . My server with a copy of ImageNet broke down, so I couldn't check the model, but I hope it works for you :)

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mfigurnov avatar mfigurnov commented on July 18, 2024

I'll publish the pretrained ResNet-101 as soon as I get access to it. It might take a couple of days, sorry about that. Do you need any other model weights? In the meantime, you can run imagenet_train.py without specifying the finetune_path argument. In this case, ACT/SACT model is trained from scratch and you don't need any pretrained weights. The results will be a bit worse than with the two-stage training, though.

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mfigurnov avatar mfigurnov commented on July 18, 2024

You can also try the ResNet v2 101 weights from Slim. I can't check at the moment, but I think they should be compatible with this repo's code.

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ZhuFengdaaa avatar ZhuFengdaaa commented on July 18, 2024

@mfigurnov Slim works. Thank you very much.

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