دانلود مقاله انگلیسی رایگان:بحث دعوت شده: مهندسی نرم افزار ، هوش مصنوعی و وسایل نقلیه خودمختار: اطمینان از امنیت - 2020
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  • Invited Talk: Software Engineering, AI and autonomous vehicles: Security assurance Invited Talk: Software Engineering, AI and autonomous vehicles: Security assurance
    Invited Talk: Software Engineering, AI and autonomous vehicles: Security assurance

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    Invited Talk: Software Engineering, AI and autonomous vehicles: Security assurance


    ترجمه فارسی عنوان مقاله:

    بحث دعوت شده: مهندسی نرم افزار ، هوش مصنوعی و وسایل نقلیه خودمختار: اطمینان از امنیت


    منبع:

    IEEE - 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops);2020;


    نویسنده:

    Matt Deitke2∗, Winson Han1∗, Alvaro Herrasti1∗, Aniruddha Kembhavi1,2∗, Eric Kolve1∗, Roozbeh Mottaghi1,2∗, Jordi Salvador1∗, Dustin Schwenk1∗, Eli VanderBilt1∗, Matthew Wallingford2∗, Luca Weihs1∗, Mark Yatskar1∗, Ali Farhadi2


    چکیده انگلیسی:

    Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undeniably played a prevailing role in the evolution of modern computer vision. We argue that interactive and embodied visual AI has reached a stage of development similar to visual recognition prior to the advent of these ecosystems. Recently, various synthetic environments have been introduced to facilitate research in embodied AI. Notwithstanding this progress, the crucial question of how well models trained in simulation generalize to reality has remained largely unanswered. The creation of a comparable ecosystem for simulation-to-real embodied AI presents many challenges: (1) the inherently interactive nature of the problem, (2) the need for tight alignments between real and simulated worlds, (3) the difficulty of replicating physical conditions for repeatable experiments, (4) and the associated cost. In this paper, we introduce ROBOTHOR to democratize research in interactive and embodied visual AI. ROBOTHOR offers a framework of simulated environments paired with physical counterparts to systematically explore and overcome the challenges of simulation-to-real transfer, and a platform where researchers across the globe can remotely test their embodied models in the physical world. As a first benchmark, our experiments show there exists a significant gap between the performance of models trained in simulation when they are tested in both simulations and their carefully constructed physical analogs. We hope that ROBOTHOR will spur the next stage of evolution in embodied computer vision.


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 11
    حجم فایل: 877 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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