Learning Noisy Few-Shot Classification Without Relying on Pseudo-Noise Data

Yixin Wu; Hui Xue; Yuexuan An; Pengfei Fang

doi:10.1109/lsp.2024.3496584

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JOURNAL ARTICLE

Learning Noisy Few-Shot Classification Without Relying on Pseudo-Noise Data

Yixin Wu Hui Xue Yuexuan An Pengfei Fang

Year: 2024 Journal: IEEE Signal Processing Letters Vol: 32 Pages: 86-90 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lsp.2024.3496584

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Keywords:

Computer science Artificial intelligence Noise (video) Pattern recognition (psychology) Shot (pellet) Noise measurement Speech recognition Noise reduction Image (mathematics)

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Learning Noisy Few-Shot Classification Without Relying on Pseudo-Noise Data

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