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SHAX-PC : Adapting XAI methodology SHAP for point cloud data

Harinck, M.F. (2024) SHAX-PC : Adapting XAI methodology SHAP for point cloud data.

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Abstract:This research created a custom SHAP framework designed to explain a PointNet model’s prediction. By calculating the marginal contribution of an individual point with respect to a coalition towards the model’s prediction. Individual points’ SHAP value shows the level of contribution that point has towards the classification of a PointNet Model in the Model Net 10 dataset. This research successfully implements the custom SHAP framework and showcases which points contribute to the classification of a chair.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general
Programme:Creative Technology BSc (50447)
Link to this item:https://purl.utwente.nl/essays/103223
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