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Underwater image enhancement with Image Colorfulness Measure
To improve the visual quality of underwater images, we proposed a novel enhancement model, which is a trainable end-to-end neural model.
G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning
In this paper, the focus is to develop a robust synthetic minority oversampling technique which falls the umbrella of data level approaches.
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