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This research paper discusses the advancements in object detection and recognition using deep learning techniques, particularly focusing on various models such as Convolutional Neural Networks (CNN), region proposal-based models, and regression/classification models. The study highlights the significance of deep learning in enhancing the accuracy of object detection tasks in computer vision, as well as its applications in areas like autonomous driving and face recognition. The paper is structured to provide

Author

SHYAM

Language

EN