Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection. (arXiv:2209.09839v1 [cs.CV])

Continual learning for Semantic Segmentation (CSS) is a rapidly emerging
field, in which the capabilities of the segmentation model are incrementally
improved by learning new classes or new domains. A central challenge in
Continual Learning is overcoming the effects of catastrophic forgetting, which
refers to the sudden drop in accuracy on previously learned tasks after the
model is trained on new classes or domains. In continual classification this
challenge is often overcome by replaying a small selection of samples from …

arxiv continual data segmentation semantic smart smart data