Abstract: Domain-adaptive object detection (DAOD) aims to generalize detectors trained in labeled source domains to unlabeled target domains by mitigating domain bias. Recent studies have confirmed ...
Abstract: Effectively detecting code clones is essential for maintaining and evolving software systems. This paper introduces a novel approach that leverages minimally random kernel convolutional ...
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