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Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. (arXiv:2203.14098v2 [cs.CV] UPDATED)
May 23, 2022, 1:12 a.m. | Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
cs.CV updates on arXiv.org arxiv.org
A fundamental and challenging problem in deep learning is catastrophic
forgetting, i.e. the tendency of neural networks to fail to preserve the
knowledge acquired from old tasks when learning new tasks. This problem has
been widely investigated in the research community and several Incremental
Learning (IL) approaches have been proposed in the past years. While earlier
works in computer vision have mostly focused on image classification and object
detection, more recently some IL approaches for semantic segmentation have been
introduced. …
arxiv cv distillation incremental segmentation semantic uncertainty
More from arxiv.org / cs.CV updates on arXiv.org
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