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...

書誌詳細
出版年:	IEEE Access
主要な著者:	Baptiste Wagner, Denis Pellerin, Sylvain Huet
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Catastrophic forgetting online object detection faster R-CNN Ebbinghaus forgetting curve natural replay online continual learning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10817562/

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