Overlapped 19-1

2 papers with code • 1 benchmarks • 0 datasets

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Most implemented papers

PLOP: Learning without Forgetting for Continual Semantic Segmentation

arthurdouillard/CVPR2021_PLOP CVPR 2021

classes predicted by the old model to deal with background shift and avoid catastrophic forgetting of the old classes.

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

clovaai/SSUL NeurIPS 2021

While the recent CISS algorithms utilize variants of the knowledge distillation (KD) technique to tackle the problem, they failed to fully address the critical challenges in CISS causing the catastrophic forgetting; the semantic drift of the background class and the multi-label prediction issue.