Comments (4)
Thank you for your interest in this paper. We must fuse the BN layers then merge the three branches. You can do some maths for verification.
from acnet.
That would result in a model without bn layers, how could I merge the branches so that I can have conv-bn
structures which is exactly the off-shelf model?
from acnet.
We never need conv-bn structure in deployed models, as an inference-time BN layer is just a linear transformation. Actually, for the deployment of a regular CNN, you should #always# fuse the BN layer into the conv kernel manually or automatically (if your platform could do so) for efficiency.
from acnet.
Thanks for replying!!! I am closing this:)
from acnet.
Related Issues (20)
- How to use for LRN?
- Does the val loss match the real performance of the inference model? HOT 2
- Error in ACBuilder HOT 5
- 绘制曲线 HOT 1
- About BN layer HOT 1
- weights translation
- 请问可以共享一下imagnet训练集的预训练权重吗?
- how to deploy the trained model ?
- depth conv的实验 HOT 5
- Plug-in version implementation HOT 2
- About params and flops
- 关于ACblock ,border的卷积核构建 HOT 1
- 关于acb与conv不完全等价的问题 HOT 3
- About pretrained model
- 关于ACBlock部分逻辑的疑问 HOT 1
- can not find the models HOT 2
- Why use this function, croplayer HOT 1
- 关于ACB的用法
- 验证时如何把推理转换后的模型变回去
- 请问有TensorFlow1.x的版本吗?
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