Comments (3)
In fact, there are several variants of residual block. As discussed in ResNet ECCV paper (https://arxiv.org/pdf/1603.05027.pdf), the activation after the addition (original version) will impede the information propagation and cause performance degradation. You can see detailed comparison of different variants in the paper.
from bringing-old-photos-back-to-life.
Thanks for the reply (and the excellent paper and code!). One follow-on question: if the goal is to use a full pre-activation configuration (to preserve the skip connection), shouldn't the norm and activation appear before the convolution in the ResNet?
from bringing-old-photos-back-to-life.
Since there are several variants, our implementation does not strictly follow the pre-activation manner, but still remove the activation after the addition operator. Such implementation style is also widely adopted in research work.
from bringing-old-photos-back-to-life.
Related Issues (20)
- i am not able to run code for installation HOT 3
- dataset information and details of training and hyperparameter and number of epoch HOT 1
- this project still available?
- Why do I get this error when I add my own photo
- MemoryError
- 代码里好多错误,pix2pixHD_model_DA.py里面的netE是什么了?
- how can I use my own model
- 很多很多问题,应该是没有再维护了
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- Not working (conda with env) HOT 5
- Not working HOT 2
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from bringing-old-photos-back-to-life.