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A Survey of Modern Deep Learning based Object Detection Models - 2022

A Survey Of Modern Deep Learning Based Object Detection Models

Survey Paper on Modern Deep Learning Based Object Detection Models

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.

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