New Generation Deep Learning for Video Object Detection: A Survey

• Published in: IEEE transaction on neural networks and learning systems Vol. 33; no. 8; pp. 3195 - 3215
• Main Authors: Jiao, Licheng, Zhang, Ruohan, Liu, Fang, Yang, Shuyuan, Hou, Biao, Li, Lingling, Tang, Xu
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer vision; Convolution; Deep learning; Detection algorithms; Feature extraction; Learning; Learning systems; Machine learning; Meteorological satellites; neural networks; Object detection; Object recognition; pipeline processing; Surveys; Task analysis; Telematics; Video data; video signal processing

Video object detection, a basic task in the computer vision field, is rapidly evolving and widely used. In recent years, deep learning methods have rapidly become widespread in the field of video object detection, achieving excellent results compared with those of traditional methods. However, the p...