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Found 3 papers, 2 papers with code
Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History
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)
Semi-supervised Human Pose Estimation in Art-historical Images
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
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
In this paper, we introduce iART: an open Web platform for art-historical research that facilitates the process of comparative vision.
