Generative and self-supervised domain adaptation for one-stage object detection

Unsupervised cross-domain object detection has recently attracted considerable attention because of its ability to significantly reduce annotation costs. For two-stage detectors, several improvements have been made in feature-level adaptations. However, this approach is not suitable for one-stage de...

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Bibliographic Details
Main Authors: Kazuma Fujii, Kazuhiko Kawamoto
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Array
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005621000199