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: Autoregressive generative models have shown their superiority in the fields of vision and language, such as high accuracy, high fidelity, and strong stability. Most existing methods are ...
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