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Found 2 papers, 1 papers with code
UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps
In this study, we address a gap in existing unsupervised domain adaptation approaches on LiDAR-based 3D object detection, which have predominantly concentrated on adapting between established, high-density autonomous driving datasets.
Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data
This approach has traditionally been used as an aggregate, similarly to System Dynamics, to depict the functioning of a system.
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