autogluon
assembled-cnn
autogluon | assembled-cnn | |
---|---|---|
19 | 1 | |
5,088 | 330 | |
- | 0.6% | |
9.9 | 0.0 | |
over 1 year ago | over 3 years ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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autogluon
assembled-cnn
-
[R] ResNet strikes back: An improved training procedure in timm. There has been significant progress on best practices for training neural nets since ResNet's introduction in 2015. With such advances, a vanilla ResNet-50 reaches 80.4% top-1 accuracy on ImageNet without extra data or distillation.
As far as i know, the assemble-ResNet-50 (https://github.com/clovaai/assembled-cnn) gets 82.8% top-1, though they make some (minor) changes to ResNet-50 architecture.
What are some alternatives?
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