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cs.CV2025★ 1 cited
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation
Nimeshika Udayangani, Sarah Erfani, Christopher Leckie
Out-of-Distribution (OOD) detection in semantic segmentation aims to localize anomalous regions at the pixel level, advancing beyond traditional image-level OOD techniques to bette…
cs.CV2025★ 3 cited
Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection
Nimeshika Udayangani, Hadi M. Dolatabadi, Sarah Erfani +1
Detecting out-of-distribution (OOD) data is essential for safe deployment of deep neural networks (DNNs). This problem becomes particularly challenging in the presence of long-tail…