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Awesome-LTCIL Awesome

This is a repository for organizing articles related to LTCIL. Most papers are linked to the pdf address provided by "arXiv" or "Openaccess". However, some papers require an academic license to browse. For example, IEEE, springer, and elsevier journal, etc.


Table of Contents (ongoing)


1. Uncertainty Estimate

1) "Energy-based Out-of-distribution Detection", NIPS 2021. [paper][code]

2) "Novel Class Discovery in Semantic Segmentation", CVPR 2022. [paper][code]

2. Bn

1) "Diagnosing Batch Normalization in Class Incremental Learning", arxiv. [paper]

2) "Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning", arxiv. [paper]

3) "CONTINUAL NORMALIZATION: RETHINKING BATCH NORMALIZATION FOR ONLINE CONTINUAL LEARNING", ICLR 2022. [paper][code]

Search keyword

  • Uncertainty
  • Open World
  • Bn

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