A Survey on Applications of Siamese Neural Networks in Computer Vision

Abstract

Computer Vision nowadays uses many Deep Learning techniques in order to make the computer learn data representations from images and image sequences (as in videos). One of the important tasks in this respect is learning the similarity between two given images, which can be readily accomplished by learning a similarity criterion between the images. This can be readily accomplished using Siamese Convolutional Neural Networks (Siamese CNNs). Siamese CNNs can learn a similarity criterion between various kinds of image pairs. The paper presents a survey, which deals with the study of some remarkable papers which have used Siamese CNNs and triplet nets (which are a variation of the Siamese CNNs) in order to learn how similar are two images to one another.