Deep transfer learning for image classification: a survey. (arXiv:2205.09904v1 [cs.CV])

Deep neural networks such as convolutional neural networks (CNNs) and
transformers have achieved many successes in image classification in recent
years. It has been consistently demonstrated that best practice for image
classification is when large deep models can be trained on abundant labelled
data. However there are many real world scenarios where the requirement for
large amounts of training data to get the best performance cannot be met. In
these scenarios transfer learning can help improve performance. To date there …

arxiv classification cv image learning survey transfer transfer learning