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Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation
Our DFL method is an improvement on the recently reported Focal Loss (FL) cross-entropy function, which proposes a scaling method that puts more weight on the examples that are difficult to classify over those that are easy.
Semi-Supervised Classification for oil reservoir
In this paper, we use the semi-supervised learning to solve the problem of ever-increasing amount of unlabelled data available for interpretation.
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