Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder

Research article (2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021) · cited 73× · AI/ML
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Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder

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Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/boosting-the-generalization-capability-in-cross-domain-few-shot-learning-via-noise-enhanced-supervised-autoencoder
MLA “Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/boosting-the-generalization-capability-in-cross-domain-few-shot-learning-via-noise-enhanced-supervised-autoencoder.
BibTeX @misc{4ortxyz_boosting-the-generalization-capability-in-cross-domain-few-shot-learning-via-noise-enhanced-supervised-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/boosting-the-generalization-capability-in-cross-domain-few-shot-learning-via-noise-enhanced-supervised-autoencoder}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder — https://4ort.xyz/entity/boosting-the-generalization-capability-in-cross-domain-few-shot-learning-via-noise-enhanced-supervised-autoencoder (retrieved 2026-05-24)

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