Yuwei Cui
ABSTRACT
This paper proposes a multi-domain sample classification method based on Baidu API's general object recognition function. we used three datasets in the experiment,including CIFAR-10, CIFAR-100, and Mini-ImageNet. For an unknown sample belonging to these three datasets, we first predict which domain it may belong to by using the output results of Baidu API, and then obtain the label of the sample by training a model on that domain. Compared with existing methods, our method reduces the number of high-performance models that need to be trained and reduces the computational difficulty. Experimental results show that our method is more convenient and accurate.
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Index Terms
- Research on Multi-Domain Sample Classification Method Based on Baidu API
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