LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds

LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds

Point Cloud Data analysis has seen a major leap forward with the introduction of PointNet algorithms, revolutionizing how we process 3D environments. Yet, despite these advancements, key challenges remain, particularly in optimizing segment perturbations to influence model outcomes in a controlled a...

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Bibliographic Details
Main Authors: Veljka Kocic, Niko Lukac, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier del Ser, Andreas Holzinger
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Explainable AI
point cloud data
counterfactual reasoning
LiDAR
3D point cloud data
interpretability
Online Access:https://ieeexplore.ieee.org/document/10993377/
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https://ieeexplore.ieee.org/document/10993377/

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