VoltaVision: A Transfer Learning model for electronic component classification
<|reference_start|>VoltaVision: A Transfer Learning model for electronic component classification: In this paper, we analyze the effectiveness of transfer learning on classifying electronic components. Transfer learning reuses pre-trained models to save time and resources in building a robust classifier rather than learning from scratch. Our work introduces a lightweight CNN, coined as VoltaVision, and compares its performance against more complex models. We test the hypothesis that transferring knowledge from a similar task to our target domain yields better results than state-of-the-art models trained on general datasets. Our dataset and code for this work are available at https://github.com/AnasIshfaque/VoltaVision.<|reference_end|>
@article{osmani2024voltavision:,
    title={VoltaVision: A Transfer Learning model for electronic component
  classification},
    author={Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Salekul Islam},
    journal={arXiv preprint arXiv:2404.03898},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.03898},
    primaryClass={cs.CV cs.LG}
}