no code implementations • 12 Jan 2023 • Stefanie Schneider, Ricarda Vollmer
With the Poses of People in Art data set, we introduce the first openly licensed data set for estimating human poses in art and validating human pose estimators.
Ranked #1 on Object Detection on PeopleArt (using extra training data)
1 code implementation • 6 Jul 2022 • Matthias Springstein, Stefanie Schneider, Christian Althaus, Ralph Ewerth
In contrast to previous work that attempts to bridge the domain gap with pre-trained models or through style transfer, we suggest semi-supervised learning for both object and keypoint detection.
Ranked #1 on Semi-Supervised Human Pose Estimation on PoPArt
1 code implementation • 3 Aug 2021 • Matthias Springstein, Stefanie Schneider, Javad Rahnama, Eyke Hüllermeier, Hubertus Kohle, Ralph Ewerth
In this paper, we introduce iART: an open Web platform for art-historical research that facilitates the process of comparative vision.