Parameter-Efficient Fine-Tuning for Photovoltaic Cell Defect Classification: A Systematic Comparison of LoRA, QLoRA, and Full Fine-Tuning on ConvNeXt-Tiny
Automated visual inspection of photovoltaic (PV) cells is an important component of solar-module quality assurance. However, adapting modern pre-trained vision backbones to PV defect classification remains challenging because full fine-tuning requires substantial memory, naturally imbalanced dataset...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2026-06-01
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| Seri Bilgileri: | Sensors |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/1424-8220/26/12/3659 |
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