Abstract: Class-imbalanced datasets often contain one or more class that are under-represented in a dataset. In such a situation, learning algorithms are often biased toward the majority class ...
Abstract: For multi-class food images, an excellent segmentation method has a great influence on accuracy of recognition result, and hence improve the effectiveness of dietary management for diabetics ...
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