SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental
Semantic Segmentation
SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental
Semantic Segmentation
While deep learning has made remarkable progress in recent years, models continue to struggle with catastrophic forgetting when processing continuously incoming data. This issue is particularly critical in continual learning, where the balance between retaining prior knowledge and adapting to new information-known as the stability-plasticity dilemma-remains a significant challenge. In …