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 ...
"STFAR: Test-Time Adaptive Object Detection through Self-Training and Feature Alignment Regularization", accepted by Expert Systems with Applications (ESWA), 2026. The arXiv version is also available ...
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