Funder
Fundamental Research Funds for the Central Universities
China Postdoctoral Science Foundation
Reference63 articles.
1. Castro, F.M., Marín-Jiménez, M.J., Guil, N., Schmid, C., Alahari, K., 2018. End-to-end incremental learning. In: Proceedings of the European Conference on Computer Vision. ECCV, pp. 233–248.
2. When deep learning meets metric learning: Remote sensing image scene classification via learning discriminative CNNs;Cheng;IEEE Trans. Geosci. Remote Sens.,2018
3. Cheraghian, A., Rahman, S., Fang, P., Roy, S.K., Petersson, L., Harandi, M., 2021. Semantic-aware knowledge distillation for few-shot class-incremental learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2534–2543.
4. Dong, S., Hong, X., Tao, X., Chang, X., Wei, X., Gong, Y., 2021. Few-shot class-incremental learning via relation knowledge distillation. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35, (2), pp. 1255–1263.
5. Traditional to transfer learning progression on scene text detection and recognition: a survey;Gupta;Artif. Intell. Rev.,2021