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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal, Jean Ogier Du Terrail, Frdric JurieTo cite this version: Shivang Agarwal, Jean Ogier Du Terrail,
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Recent advances in object refer to the latest developments and improvements in the field of object-oriented programming, design, and data management, which include techniques, frameworks, and technologies that enhance the efficiency and functionality of managing objects in software development.
Researchers, developers, and professionals in the software industry who are working on or reporting new techniques and innovations in object-oriented programming are typically required to file recent advances in object.
To fill out recent advances in object, one must provide detailed documentation of the advancements, including descriptions of the techniques used, results achieved, and methodologies followed. This often involves submitting a formal report or paper to relevant conferences or journals.
The purpose of recent advances in object is to share knowledge and discoveries within the software development community, promote collaboration, stimulate further research, and improve practices regarding object-oriented solutions.
The information to be reported on recent advances in object must include the nature of the advancement, its applicability, results from experimentation or implementation, relevant coding examples, and potential areas for future research or improvement.
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