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20:14
YouTube
Idiot Developer
Uncertainty Estimation for Image Segmentation using Monte Carlo Dropout | PyTorch Tutorial
In this tutorial, we’ll explore how to estimate uncertainty in image segmentation using Monte Carlo Dropout (MC Dropout) with a U-Net model in PyTorch. Without retraining, we'll inject dropout layers at inference time and visualize uncertainty maps that reveal where the model is confident — and where it isn't. This technique is especially ...
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6 months ago
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