Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Data augmentation encompasses a diverse array of methods designed to expand and diversify training datasets without the need for additional manual annotation. In computer vision, common approaches ...

Implicit sentiment identification tasks occupy an important place in the field of natural language processing (NLP). In recent years, deep learning models have made significant progress in most tasks ...