Deep Class-Incremental Learning: A Survey
By Da-Wei Zhou, Qiwen Wang, Zhi-Hong Qi, Han-Jia Ye, De-chuan Zhan, Ziwei Liu. 2023
133 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Bartłomiej Twardowski
- Joost van de Weijer
- Albin Soutif-Cormerais
- Dipam Goswami
- Yuyang Liu
- Sandesh Kamath
- Andrew D. Bagdanov
- Han-Jia Ye
In Computer Vision and Pattern Recognition
- Bartłomiej Twardowski
- Joost van de Weijer
- Albin Soutif-Cormerais
- Dipam Goswami
- Yuyang Liu
- Sandesh Kamath
- Luc Van Gool
- Ming-Hsuan Yang
Citations in the corpus
- Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning (2024, methodology): “Recent studies in continual learning (CL) [4, 29, 50, 54] focus on two prevalent scenarios [47]: Task-Incremental Learning (TIL), where task information is available during testing, and Class-Incremental Learning (CIL), where it is not.”