tensorflow-deeplab-lfov
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the best performance is 0.607 training from scratch while the pretrained model is 0.670
Any idea on how to improve the performance?
Do you use the provided training script for optimisation? If so, it doesn't follow the choices from the original paper (e.g., Adam vs SGD), which might reflect the difference.