From Channel Bias to Feature Redundancy: Uncovering the “Less is More” Principle in Few-Shot Learning

Ji Zhang, Xu Luo, Lianli Gao, Difan Zou, Heng Tao Shen, Jingkuan Song

Open source

DOI
10.1109/tpami.2026.3674435
Published
2026-08
Container
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/tpami.2026.3674435,
  title = {From Channel Bias to Feature Redundancy: Uncovering the “Less is More” Principle in Few-Shot Learning},
  author = {Ji Zhang and Xu Luo and Lianli Gao and Difan Zou and Heng Tao Shen and Jingkuan Song},
  year = {2026},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  doi = {10.1109/tpami.2026.3674435},
  url = {https://doi.org/10.1109/tpami.2026.3674435}
}

RIS

TY  - JOUR
TI  - From Channel Bias to Feature Redundancy: Uncovering the “Less is More” Principle in Few-Shot Learning
AU  - Ji Zhang
AU  - Xu Luo
AU  - Lianli Gao
AU  - Difan Zou
AU  - Heng Tao Shen
AU  - Jingkuan Song
PY  - 2026
JO  - IEEE Transactions on Pattern Analysis and Machine Intelligence
DO  - 10.1109/tpami.2026.3674435
UR  - https://doi.org/10.1109/tpami.2026.3674435
ER  - 

APA

Zhang, J., Luo, X., Gao, L., Zou, D., Shen, H. T., & Song, J. (2026). From Channel Bias to Feature Redundancy: Uncovering the “Less is More” Principle in Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3674435

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