Comments (1)
JUGGHM
commented on August 24, 2024
Thanks for your interest WangS! I agree that in-place BN layers are more memory-efficient. When we were conducting this work we followed the implementations of Ding etal's and didn't take in-place BN layers into consideration, neither in DBB/RepVGG nor ours. This surely leads to higher extra memory to a severer extent for DBB. However, I could not provide results for in-placed variants currently since I am working on some other projects now.
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Related Issues (13)
- TestTestTest123123
- About orepa block extending to 3D HOT 1
- Numerical Stability HOT 1
- About weight similarity across branches. HOT 1
- about accuracy of ResNet34 HOT 1
- Can you publish the code for the combination of resnet and OREPA? HOT 1
- 关于scaling HOT 5
- 可以解释下Proposition 1吗，没太明白，谢谢 HOT 1
- about linear deep stem HOT 2
- 预训练权重下载需要申请访问权限 HOT 1
- I think there is a minor error HOT 1
- OREPA_LargeConvBase result is wrong HOT 4
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