Research Area: Machine Learning
Object Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep learning based object detectors. Concise overview of benchmark datasets and evaluation metrics used in detection is also provided along with some of the prominent backbone architectures used in recognition tasks. It also covers contemporary lightweight classification models used on edge devices. Lastly, we compare the performances of these architectures on multiple metrics.
Keywords:
Deep Learning
Object Detection Models
Convolutional neural networks (CNN)
Lightweight networks
Author(s) Name: Syed Sahil Abbas Zaidi,
Journal name: Digital Signal Processing
Conferrence name:
Publisher name: Elsevier
DOI: 10.1016/j.dsp.2022.103514
Volume Information: Volume 126, 30 June 2022, 103514
