Lecture

Open-World Semantic Scene Understanding: SCIM

Description

This lecture presents SCIM, a method for simultaneous clustering, inference, and mapping to achieve open-world semantic scene understanding. The instructor discusses generating scenarios for novel object discovery, domain adaptation of known classes, detection of unknowns, anomaly segmentation, and autonomous optimization of clustering parameters.

Official source

https://mediaspace.epfl.ch/media/0_3g7sqamo

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Ontological neighbourhood

Information engineering

Machine learning: Unsupervised learning

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