Abstract: Unsupervised domain adaptation (UDA) is widely utilized to accomplish the visual object recognition task in the field of consumer electronics, aiming at ...
OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.
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 ...
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