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2023
Presentation
Titel
Statistical Guarantees for Safe 2D Object Detection Post-processing
Titel Supplements
Paper presented at the Out Of Distribution Generalization in Computer Vision Workshop (OOD-CV) 2023, in conjunction with the International Conference on Computer Vision (ICCV) 2023, October 2-6, 2023, Paris
Abstract
Safe and reliable object detection is essential for safetycritical applications of machine learning, such as autonomous driving. However, standard object detection methods cannot guarantee their performance during operation. In this work, we leverage conformal prediction in order to provide statistical guarantees for back-box object detection models. Extending prior work, we present a postprocessing methodology that can cover the entire object detection problem (localization, classification, false negatives, detection in videos, etc.), while offering sound safety guarantees on its error rates. We apply our method on state-of-the-art 2D object detection models and measure its efficacy in practice. Moreover, we investigate what happens as the acceptable error rates are pushed towards high safety levels. Overall, the presented methodology offers a practical approach towards safety-aware object detection, and we hope it can pave the way for further research in this area.
Author(s)
Language
English