Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective

Kun Fang, Qinghua Tao, Xiaolin Huang +1

Existing Out-of-Distribution (OoD) detection methods address to detect OoD samples from In-Distribution (InD) data mainly by exploring differences in features, logits and gradients…