Machine learning under limited resources
Deep learning methods have led to substantial improvement of performance in many computer vision applications. However, these methods require massive resources, including data collection, label annotation, and computation, which may be insufficient in real-world applications. The constraints of reso...
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| Language: | en_US |
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2021
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| Online Access: | https://hdl.handle.net/2144/43099 |