Tag: ICCV 2023
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ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zieliński, Bartłomiej Twardowski Read Full Paper → Class-incremental learning is becoming more popular as it helps models widen their applicability while not forgetting what they already know. A trend in this area is to use a mixture-of-expert technique, where different models work together to solve the task. However, the experts are […]
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Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
Liu Yuyang, Cong Yang, Goswami Dipam, Liu Xialei, Joost van de Weijer Read Full Paper → In incremental learning, replaying stored samples from previous tasks together with current task samples is one of the most efficient approaches to address catastrophic forgetting. However, unlike incremental classification, image replay has not been successfully applied to incremental object detection (IOD). In this […]