Caption-Driven Explainability: Probing CNNs for Bias via CLIP

Mon, 01 Sep 2025 00:00:00 +0000

Patrick Koller, Amil V. Dravid, Prof. Dr. Guido Schuster, and Prof. Dr. Aggelos Katsaggelos

Accepted and presented at the IEEE ICIP 2025 Satellite Workshop: “Generative AI for World Simulations and Communications & Celebrating 40 Years of Excellence in Education: Honoring Prof. Aggelos Katsaggelos,” Anchorage, Alaska, USA, Sept 14, 2025.

BibTeX Citation

@INPROCEEDINGS{Koller_2025_CaptionXAI,
 author={Koller, Patrick and Dravid, Amil V. and Schuster, Guido M. and Katsaggelos, Aggelos K.},
 booktitle={2025 IEEE International Conference on Image Processing Workshops (ICIPW)},
 title={Caption-Driven Explainability: Probing CNNS for Bias Via Clip},
 year={2025},
 volume={},
 number={},
 pages={663-667},
 keywords={Explainable AI;Computational modeling;Machine vision;Zero shot learning;Surgery;Medical services;Debugging;Predictive models;Robustness;Convolutional neural networks;Multi-Modal Explainability;CLIP;Model Bias Detection;Zero-Shot Learning;Network Surgery},
 doi={10.1109/ICIPW68931.2025.11386015}
}

Model Bias Detection | Patrick Koller

Caption-Driven Explainability: Probing CNNs for Bias via CLIP

BibTeX Citation