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Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings
3 January 2022
Gesina Schwalbe
Christian Wirth
Ute Schmid
AAML
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Papers citing
"Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings"
5 / 5 papers shown
Title
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
Gesina Schwalbe
Georgii Mikriukov
Edgar Heinert
Stavros Gerolymatos
Mert Keser
Alois Knoll
Matthias Rottmann
Annika Mütze
122
0
0
11 Apr 2025
Unveiling Ontological Commitment in Multi-Modal Foundation Models
Mert Keser
Gesina Schwalbe
Niki Amini-Naieni
Matthias Rottmann
Alois Knoll
53
1
0
25 Sep 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
Jae Hee Lee
Georgii Mikriukov
Gesina Schwalbe
Stefan Wermter
D. Wolter
109
2
0
20 Sep 2024
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
Pallavi Mitra
Gesina Schwalbe
Nadja Klein
AAML
74
1
0
31 May 2024
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces
Georgii Mikriukov
Gesina Schwalbe
Christian Hellert
Korinna Bade
60
2
0
30 Apr 2023
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