7 citations · 7 across the 3 of their papers we have counts for
3 papers
Probabilistic road classification in historical maps using synthetic data and deep learning
Dominik J. Mühlematter, Sebastian Schweizer, Chenjing Jiao +3
Historical maps are invaluable for analyzing long-term changes in transportation and spatial development, offering a rich source of data for evolutionary studies. However, digitizi…
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Sidi Wu, Yizi Chen, Samuel Mermet +4
Most image-to-image translation models postulate that a unique correspondence exists between the semantic classes of the source and target domains. However, this assumption does no…
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps
Sidi Wu, Yizi Chen, Konrad Schindler +1
Historical maps provide useful spatio-temporal information on the Earth's surface before modern earth observation techniques came into being. To extract information from maps, neur…