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cs.CV2026
Circumventing Magnitude Collapse via Modular Two-Stage Open-Set Recognition
Laurin van den Bergh, Halil Bisgin, Andres Palechor +2
Open-set recognition (OSR) requires neural networks to classify known classes while rejecting unknown samples, which is critical for real-world deployment. So far, OSR research stu…
cs.CV2024
Large-Scale Evaluation of Open-Set Image Classification Techniques
Halil Bisgin, Andres Palechor, Mike Suter +1
The goal for classification is to correctly assign labels to unseen samples. However, most methods misclassify samples with unseen labels and assign them to one of the known classe…