1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Quantile-based Maximum Likelihood Training for Outlier Detection
Masoud Taghikhah, Nishant Kumar, Siniša Šegvić +2
Discriminative learning effectively predicts true object class for image classification. However, it often results in false positives for outliers, posing critical concerns in appl…
cs.CV2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
Nishant Kumar, Siniša Šegvić, Abouzar Eslami +1
Real-world deployment of reliable object detectors is crucial for applications such as autonomous driving. However, general-purpose object detectors like Faster R-CNN are prone to…