Siamese Neural Networks for Visual Place Recognition

Siamese neural networks are powerful constructs in the domain of deep learning and are currently the subject of intense research. Siamese neural networks describe the use of neural networks rather than the design of a network itself. The use of Siamese neural networks allows the possibility of adjusting the parameters of a learnable function either from scratch or with fine-tuning to better fit a particular task. In addition to adjustment, another useful side-effect according to the design of a learnable function, is dimensionality reduction. In this paper, we will utilize numerous fundamental and state-of-the-art concepts related to Siamese networks in order to solve different tasks. A special attention will be paid to the problem of visual place recognition.