Dataset Groups Activity Stream Open-Set Semi-Supervised Object Detection Open-Set Semi-Supervised Object Detection aims to leverage the unconstrained unlabeled images to improve an object detector trained with the available labeled data. BibTex: @dataset{Yen-Cheng_Liu_and_Chih-Yao_Ma_and_Xiaoliang_Dai_and_Junjiao_Tian_and_Peter_Vajda_and_Zijian_He_and_Zsolt_Kira_2024, abstract = {Open-Set Semi-Supervised Object Detection aims to leverage the unconstrained unlabeled images to improve an object detector trained with the available labeled data.}, author = {Yen-Cheng Liu and Chih-Yao Ma and Xiaoliang Dai and Junjiao Tian and Peter Vajda and Zijian He and Zsolt Kira}, doi = {10.57702/ftsyb008}, institution = {No Organization}, keyword = {'object detection', 'open-set', 'semi-supervised learning', 'unconstrained unlabeled images'}, month = {dec}, publisher = {TIB}, title = {Open-Set Semi-Supervised Object Detection}, url = {https://service.tib.eu/ldmservice/dataset/open-set-semi-supervised-object-detection}, year = {2024} }