Deep Learning Methods for Infrared Small Object Detection

Deep learning refers to a collection of algorithms that use various machine learning algorithms on multi-layer neural networks to solve various problems such as images and texts. Deep learning can be classified into neural networks in general, but there are many changes in the specific implementation. The core of deep learning is feature learning, which aims to obtain hierarchical feature information through hierarchical networks, so as to solve the important problems that required manual design of features in the past. Deep learning is a framework that includes several important algorithms. In recent years, in the field of infrared small target detection, many scholars have also proposed related models based on deep learning.