5 citations · 7 across the 2 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2021★ 5 cited
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
Unsupervised domain adaptation, which involves transferring knowledge from a label-rich source domain to an unlabeled target domain, can be used to substantially reduce annotation…
cs.CV2021★ 2 cited
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura +1
Cell detection is an essential task in cell image analysis. Recent deep learning-based detection methods have achieved very promising results. In general, these methods require exh…