2 papers
cs.CV2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland, Claire Tomlin
There exist many methods to explain how an image classification model generates its decision, but very little work has explored methods to explain why a classifier might lack confi…
cs.CV2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Sara Pohland, Claire Tomlin
Convolutional neural networks (CNNs) are extremely popular and effective for image classification tasks but tend to be overly confident in their predictions. Various works have sou…