A survey: object detection methods from CNN to transformer

• Published in: Multimedia tools and applications Vol. 82; no. 14; pp. 21353 - 21383
• Main Authors: Arkin, Ershat, Yadikar, Nurbiya, Xu, Xuebin, Aysa, Alimjan, Ubul, Kurban
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial neural networks; Computer Communication Networks; Computer Science; Computer vision; Data Structures and Information Theory; Multimedia Information Systems; Natural language processing; Neural networks; Object recognition; Special Purpose and Application-Based Systems; Transformers; Computer vision; Real-time system; CNN; Transformer; Object detection

Object detection is the most important problem in computer vision tasks. After AlexNet proposed, based on Convolutional Neural Network (CNN) methods have become mainstream in the computer vision field, many researches on neural networks and different transformations of algorithm structures have appe...