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Learning Point Spread Function Invertibility Assessment for Image Deconvolution
Our findings reveal that this metric correlates with high recovery performance in DL and traditional methods, thereby serving as an effective regularizer in deconvolution tasks.
Building Robust Deep Neural Networks for Road Sign Detection
Deep Neural Networks are built to generalize outside of training set in mind by using techniques such as regularization, early stopping and dropout.
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