A framework for continual semantic segmentation that effectively detects and mitigates the backward background shift to improve both the plasticity and stability of the network.
This research introduces a novel method for continual whole-body organ segmentation in CT scans, leveraging a low-rank adapted Pyramid Vision Transformer (PVT) to incrementally learn new organs without forgetting previously acquired knowledge, while maintaining a low parameter increase rate.