FOSTER: Feature Boosting and Compression for Class-Incremental Learning
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Abstract
No abstract available for this paper.
Citation impact
283
total citations
- FWCI
- 90.74
- Percentile
- 100%
- References
- 39
Citations per year
Authors
4- FWFu-Yun WangCorresponding
Nanjing University
- DZDa-Wei Zhou
Nanjing University
- HYHan-Jia Ye
Nanjing University
- DZDe-Chuan Zhan
Nanjing University
Topics & keywords
Topics
Keywords
- Computer science
- Boosting (machine learning)
- Forgetting
- Artificial intelligence
- Overhead (engineering)
- Machine learning
- Feature (linguistics)
- Class (philosophy)
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