Union-net: A deep neural network model adapted to small data sets. (arXiv:2012.13044v2 [cs.CV] UPDATED)

In real applications, generally small data sets can be obtained. At present,
most of the practical applications of machine learning use classic models based
on big data to solve the problem of small data sets. However, the deep neural
network model has complex structure, huge model parameters, and training
requires more advanced equipment, which brings certain difficulties to the
application. Therefore, this paper proposes the concept of union convolution,
designing a light deep network model union-net with a shallow network …

arxiv cv data data sets deep neural network network neural network small small data