From Channel Bias to Feature Redundancy: Uncovering the “Less is More” Principle in Few-Shot Learning
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T01:47:30.803Z