Object Detection and Classification with Limited Training Data
Source abstract
Abstract
Since the rise of deep learning around a decade ago, the field of object detection and classification using a convolutional neural network (CNN) and its variants has grown exponentially [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: COVID-19 diagnosis using AI · Advanced Neural Network Applications
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Affiliations
School of Computing and Communications, Faculty of Science, Technology, Engineering and Mathematcis, Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Faculty of Engineering and Applied Sciences, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK
References (3)
Show source-provided references
1. Goyal, M., and Mahmoud, Q.H. (2024). A Systematic Review of Synthetic Data Generation Techniques Using Generative AI. Electronics, 13.10.3390/electronics13173509 ↗
2. Zhuang, F., Qi, Z., Duan, K., Xi, D., Zhu, Y., Zhu, H., Xiong, H., and He, Q. (2019). A Comprehensive Survey on Transfer Learning, IEEE.
3. Parnami, A., and Lee, M. (2022). Learning from Few Examples: A Summary of Approaches to Few-Shot Learning. arXiv.