Dipam Goswami

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

2023 · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

In class-incremental semantic segmentation (CISS), deep learning architectures suffer from the critical problems of catastrophic forgetting and semantic background shift. Although recent works focused on these issues, existing classifier initialization methods do not address the …

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

2023 · arXiv (Cornell University)

Exemplar-free class-incremental learning (CIL) poses several challenges since it prohibits the rehearsal of data from previous tasks and thus suffers from catastrophic forgetting. Recent approaches to incrementally learning the classifier by freezing the feature extractor …