Faster-LTN: a neuro-symbolic, end-to-end object detection architecture

The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation. Neural-Symbolic techniques, such as Logic Tensor Networks (LTNs), allow the combination of semantic knowledge representation and reasoning with the ability to efficiently learn from examples typical of neural networks.

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Cite this as

Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti (2024). Dataset: Faster-LTN: a neuro-symbolic, end-to-end object detection architecture. https://doi.org/10.57702/xhw9vyuq

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Francesco Manigrasso
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Filomeno Davide Miro
Lia Morra
Fabrizio Lamberti
Homepage https://gitlab.com/grains2/Faster-LTN