{"title":"基于深度学习的目标检测技术综述","authors":"Bhagya C, Shyna A","doi":"10.1109/ICIICT1.2019.8741359","DOIUrl":null,"url":null,"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.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"48 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"An Overview of Deep Learning Based Object Detection Techniques\",\"authors\":\"Bhagya C, Shyna A\",\"doi\":\"10.1109/ICIICT1.2019.8741359\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":118897,\"journal\":{\"name\":\"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)\",\"volume\":\"48 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIICT1.2019.8741359\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIICT1.2019.8741359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Overview of Deep Learning Based Object Detection Techniques
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.