Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...
Abstract: In this research work, ensemble methods for analyzing classification problems were analyzed. Currently, various methods and algorithms are proposed and implemented based on machine systems ...
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