Fetching the paper…
Reading the bibliography…
Existing class-incremental lifelong learning studies only the data is with single-label, which limits its adaptation to multi-label data.
Nus-wide: a real-world web image database from national university of singapore
Chua, T.-S., Tang, J., Hong, R., Li, H., Luo, Z., and Zheng, Y · 2009
Earlier work this paper cites.
Microsoft coco: Common objects in context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., and Zitnick, C. L · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Pennington, J., Socher, R., and Manning, C. D · 2014
Earlier work this paper cites.
Deep cross-modal hashing
Jiang, Q.-Y. and Li, W.-J · 2017
Earlier work this paper cites.
Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al · 2017
Earlier work this paper cites.
Learning without forgetting
Li, Z. and Hoiem, D · 2017
Cited alongside, same era.
icarl: Incremental classifier and representation learning
Rebuffi, S.-A., Kolesnikov, A., Sperl, G., and Lampert, C. H · 2017
Cited alongside, same era.
Riemannian walk for incremental learning: Understanding forgetting and intransigence
Chaudhry, A., Dokania, P. K., Ajanthan, T., and Torr, P. H · 2018
Cited alongside, same era.
Efficient lifelong learning with a-gem
Chaudhry, A., Ranzato, M., Rohrbach, M., and Elhoseiny, M · 2019
Cited alongside, same era.
Multi-label image recognition with graph convolutional networks
Chen, Z.-M., Wei, X.-S., Wang, P., and Guo, Y · 2019
Cited alongside, same era.
Experience replay for continual learning
Rolnick, D., Ahuja, A., Schwarz, J., Lillicrap, T., and Wayne, G · 2019
Later among the works it cites.
Imbalanced continual learning with partitioning reservoir sampling
Kim, C. D., Jeong, J., and Kim, G · 2020
Later among the works it cites.
Learning graph convolutional networks for multi-label recognition and applications
Chen, Z., Wei, X.-S., Wang, P., and Guo, Y · 2021
Later among the works it cites.
Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning
Mai, Z., Li, R., Kim, H., and Sanner, S · 2021
Later among the works it cites.
Few-shot class-incremental learning by sampling multi-phase tasks
Zhou, D.-W., Ye, H.-J., and Zhan, D.-C · 2022
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…