111 citations · 137 across the 2 of their papers we have counts for
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cs.CV2026★ 26 cited
Cross-Domain Object Detection Using Unsupervised Image Translation
Vinicius F. Arruda, Rodrigo F. Berriel, Thiago M. Paixão +4
Unsupervised domain adaptation for object detection addresses the adaption of detectors trained in a source domain to work accurately in an unseen target domain. Recently, methods…
cs.CV2019★ 111 cited
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Vinicius F. Arruda, Thiago M. Paixão, Rodrigo F. Berriel +4
Deep learning techniques have enabled the emergence of state-of-the-art models to address object detection tasks. However, these techniques are data-driven, delegating the accuracy…