MultIOD: Rehearsal-free Multihead Incremental Object Detector

arXiv:2309.05334v2 Announce Type: replace
Abstract: Class-Incremental learning (CIL) refers to the ability of artificial agents to integrate new classes as they appear in a stream. It is particularly interesting in evolving environments where agents have limited access to memory and computational resources. The main challenge of incremental learning is catastrophic forgetting, the inability of neural networks to retain past knowledge when learning a new one. Unfortunately, most existing class-incremental methods for object detection are applied to two-stage algorithms such as …

abstract agents artificial arxiv catastrophic forgetting challenge class computational cs.cv environments free incremental memory resources type