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arXiv · 2209.03603

nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection

Jinxiang Lai·Wenlong Liu·Jun Liu
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Abstract

Continual Learning (CL) focuses on developing algorithms with the ability to adapt to new environments and learn new skills. This very challenging task has generated a lot of interest in recent years, with new solutions appearing rapidly. In this paper, we propose a nVFNet-RDC approach for continual object detection. Our nVFNet-RDC consists of teacher-student models, and adopts replay and feature distillation strategies. As the 1st place solutions, we achieve 55.94% and 54.65% average mAP on the 3rd CLVision Challenge Track 2 and Track 3, respectively.

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Jinxiang Lai, Wenlong Liu, Jun Liu. 2022-09-08. nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection. https://arxiv.org/abs/2209.03603

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