Oh‐Min Kwon

Boosting Out-of-Distribution Image Detection With Epistemic Uncertainty

2022 · IEEE Access

Modern deep neural networks are known to generate over-confident class predictions even for unseen samples. However, safety-critical applications are required to understand examples that differ from the training distribution. For example, an autonomous vehicle must …