The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
A Broader Study of Cross-Domain Few-Shot Learning
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Cites
Deep Residual Learning for Image Recognition
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Self-citationWang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., & Summers, R. M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.369 · Cited by 4,616
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“Few-shot learning Few-shot learning [32,60,31] is an increasingly important topic in machine learning.”
BackgroundDescribing Textures in the Wild
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Self-citationEuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
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“However, collecting sufficient amounts of data for certain classes may be impossible in practice: for example, in dermatology, there are a multitude of instances of rare diseases, or diseases that become rare for particular types of skin [48,1,25].”
Background
Cited by
Meta-Learning in Neural Networks: A Survey
Hospedales, T., Antoniou, A., Micaelli, P., & Storkey, A. (2020) · arXiv · doi:10.48550/arxiv.2004.05439 · Cited by 886
Meta-Learning in Neural Networks: A Survey
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A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Song, Y., Wang, T., Cai, P., Mondal, S. K., & Sahoo, J. P. (2023) · ACM Computing Surveys · doi:10.1145/3582688 · Cited by 721
Deep metric learning for few-shot image classification: A Review of recent developments
Li, X., Yang, X., Ma, Z., & Xue, J.-H. (2023) · Pattern Recognition · doi:10.1016/j.patcog.2023.109381 · Cited by 243
Fine-grained Angular Contrastive Learning with Coarse Labels
Bukchin, G., Schwartz, E., Saenko, K., Shahar, O., Feris, R., Giryes, R., & Karlinsky, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00862 · Cited by 55
Self-citation
Metadata
- Authors
- Guo, Y., Codella, N. C., Karlinsky, L., Codella, J. V., Smith, J. R., Saenko, K., Rosing, T., & Feris, R.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 124-141
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3110608229
- Cited by
- 320
- References
- 16
- FWCI
- 17.24
- Type
- conference paper
- Language
- en
- Open access
- green
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