Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations

B Fresz, L Lörcher, M Huber - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
Decision processes of computer vision models—especially deep neural networks—are
opaque in nature, meaning that these decisions cannot be understood by humans. Thus …

DExT: Detector Explanation Toolkit

DC Padmanabhan, PG Plöger, O Arriaga… - World Conference on …, 2023 - Springer
State-of-the-art object detectors are treated as black boxes due to their highly non-linear
internal computations. Even with unprecedented advancements in detector performance, the …