Studying Forgetting in Faster R-CNN for Online Object Detection: Analysis Scenarios, Localization in the Architecture, and Mitigation

Online Object Detection (OOD) requires learning new object categories from a stream of images, similar to an agent exploring new environments. In this context, the widely used architecture Faster R-CNN (Region Convolutional Neural Network) faces catastrophic forgetting: the acquisition of new knowle...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Baptiste Wagner, Denis Pellerin, Sylvain Huet
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Catastrophic forgetting online object detection faster R-CNN Ebbinghaus forgetting curve natural replay online continual learning
Online Access:	https://ieeexplore.ieee.org/document/10817562/