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Found 6 papers, 5 papers with code
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.
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Semi-Supervised Human Pose Estimation
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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.
Unsupervised Training Data Generation of Handwritten Formulas using Generative Adversarial Networks with Self-Attention
The recognition of handwritten mathematical expressions in images and video frames is a difficult and unsolved problem yet.
QuTI! Quantifying Text-Image Consistency in Multimodal Documents
The World Wide Web and social media platforms have become popular sources for news and information.
Ontology-driven Event Type Classification in Images
Event classification can add valuable information for semantic search and the increasingly important topic of fact validation in news.
Understanding, Categorizing and Predicting Semantic Image-Text Relations
Two modalities are often used to convey information in a complementary and beneficial manner, e. g., in online news, videos, educational resources, or scientific publications.
