I’ve experimented how standardization affect a binary segmentation model’s performance by comparing 2 outputs.
- Inference result from model trained with standardization using ImageNet RGB mean and standard deviation
- Inference result from model trained without standardization
I’ve found out that the standardized model was able to predict more complicated figures.