An Overview of Deep Learning Based Object Detection Techniques

Citations Over TimeTop 15% of 2019 papers

Abstract

Recent years have witnessed a boundless growth in the field of deep learning. With the preferment in the field of deep learning, the task of object detection has become more exciting and challenging. Object detection focuses on detecting the presence of entire objects within a given image. Deep learning based object detection techniques have shown an efficacy to learn the object features directly from the data. The paper mainly focuses on providing a survey on various state-of-the-art deep learning based object detection techniques. The work also concentrates on providing an extensive comparison regarding the opportunities and obstacles faced by different object detection techniques. The paper concludes by identifying the future golden scopes for research in these fields.

Related Papers

• → A review of object detection based on deep learning(2020)553 cited
• → THE RELATION BETWEEN CHOOSING AND WORKING PREVOCATIONAL TASKS IN TWO SEVERELY RETARDED YOUNG ADULTS(1980)76 cited
• → Deep Learning for Object Detection and Grasping: A Survey(2018)5 cited
• → Deep fake Detection Through Deep Learning(2023)4 cited
• → MG313 Daily life support robot which picks up an object indicated by a human(2007)