A neural networks approach to detecting lost heritage in historical video

F Condorelli, F Rinaudo, F Salvadore… - … International Journal of …, 2020 - mdpi.com
Documenting Cultural Heritage through the extraction of 3D measures with photogrammetry
is fundamental for the conservation of the memory of the past. However, when the heritage …

Explainability of Deep Learning models for Urban Space perception

R Sangers, J van Gemert… - arXiv preprint arXiv …, 2022 - arxiv.org
Deep learning based computer vision models are increasingly used by urban planners to
support decision making for shaping urban environments. Such models predict how people …

Placepedia: Comprehensive place understanding with multi-faceted annotations

H Huang, Y Zhang, Q Huang, Z Guo, Z Liu… - European Conference on …, 2020 - Springer
Place is an important element in visual understanding. Given a photo of a building, people
can often tell its functionality, eg a restaurant or a shop, its cultural style, eg Asian or …

Minor Politics, Major Consequences: Epistemic Challenges of Metadata and the Contribution of Image Recognition

B Löffler, T Mager - Digital Culture & Society, 2020 - degruyter.com
Metadata is part of our knowledge systems and, so, represents and perpetuates political
hierarchies and perceptions of relevance. While some of these have come up for scrutiny in …

Learning to Explore Knowledges from Cross Modality Data

H Huang - 2020 - search.proquest.com
Big data plays a crucial role in the success of deep learning, with its large scalability and
various data modalities. Modeling the relations of the data from one particular domain is …

[引用][C] Recognizing visual places from landscapes with zero shot learning

E Savaşçı - 2021 - Başkent Üniversitesi Fen Bilimleri …