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Found 3 papers, 2 papers with code
Managing the unknown: a survey on Open Set Recognition and tangential areas
In real-world scenarios classification models are often required to perform robustly when predicting samples belonging to classes that have not appeared during its training stage.
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery
Besides performance, efficiency is a key design driver of technologies supporting vehicular perception.
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks
Specifically, this work presents a novel OoD detector that can identify whether test examples input to a Spiking Neural Network belong to the distribution of the data over which it was trained.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
