An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites

作者：

Highlights：

• A new dataset to study unsupervised domain adaptation methods for object detection.

• An in-depth study of unsupervised domain adaptation methods for artwork detection.

• A new unsupervised domain adaptation method which generalize over different datasets.

摘要

•A new dataset to study unsupervised domain adaptation methods for object detection.•An in-depth study of unsupervised domain adaptation methods for artwork detection.•A new unsupervised domain adaptation method which generalize over different datasets.

论文关键词：Object detection,Cultural sites,First person vision,Unsupervised domain adaptation

论文评审过程：Received 1 August 2020, Revised 16 December 2020, Accepted 20 December 2020, Available online 9 January 2021, Version of Record 16 January 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2021.104098