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Thanks for your sharing!
But I meet this question about
` File "/home/meichen/PycharmProjects/CBAM /cbam+resnet/MODELS/model_resnet.py", line 282, in
make_dot(output.mean, params=dict(net.n…
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I want to compare the results with the SEblock, thx!
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how can i add attention like CBAM to train to see if the result is better?
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### Branch
main branch (mmpretrain version)
### Describe the bug
If the default scope is set to be non-'mmpretrain', ImageClassificationInferencer may be initialized incorrectly.
**Check:*…
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Create instructions set based on the **Carbon Border Adjustment Mechanism (CBAM) Questions and Answers** document:
https://taxation-customs.ec.europa.eu/document/download/013fa763-5dce-4726-a204-69fe…
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Hello,
thank you for your code.
I am wondering if you can provide the pretrained model of the resnet_v2 with cbam attention model?
Thanks!!!
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Excuse me, sir.
I read your file 'attention.py' and I find something wrong. In line 62, there is 'return x + (x * Mf)'.
According to the Eq.(2). in paper BAM: Bottleneck Attention Module, it …
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Respected sir,
I am getting the following error while using your code.
**depth = 20
base_model = 'inception_resnet_v2'
# Choose what attention_module to use: cbam_block / se_block / None
atten…
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Hi,
Thank you for sharing your code and models. It's hard to download from Baidu. Is it possible to upload the following models on google drive or dropbox?
- SGE-ResNet50
- CBAM-ResNet50
Thank…