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Machine Vision and Applications / 2025

Naturally Constrained Reject Option Classification

We present the invited journal extension of our reject-option work, evaluating per-class binomial thresholds on ImageNet, long-tailed wildlife data, and remote-sensing datasets. The paper adds experimental analysis of class-conditional thresholds, dataset-specific coverage targets, and selective-accuracy reporting for model comparison.