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cs.CV2026
Catalyst: Out-of-Distribution Detection via Elastic Scaling
Abid Hassan, Tuan Ngo, Saad Shafiq +1
Out-of-distribution (OOD) detection is critical for the safe deployment of deep neural networks. State-of-the-art post-hoc methods typically derive OOD scores from the output logit…
cs.CV2026
DAVIS: OOD Detection via Dominant Activations and Variance for Increased Separation
Abid Hassan, Tuan Ngo, Saad Shafiq +1
Detecting out-of-distribution (OOD) inputs is a critical safeguard for deploying machine learning models in the real world. However, most post-hoc detection methods operate on penu…