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Research Article

JCR. 2020; 7(11): 786-792


CONVOLUTIONAL NEURAL NETWORK BASED OBJECT DETECTION: A REVIEW

Asim Suhail, Manoj Jayabalan, Vinesh Thiruchelvam.

Abstract
Computer vision is excelling in the field of segmentation, feature extraction, and object detection from image data. The object detection is gaining immense interest from a different application such as healthcare, traffic monitoring, surveillance, robotics etc. The ability to detect the object more precisely is an important factor due to its application in sensitive domains. Over the past few years, researchers have strived to cope up with this challenge. This study presents a review of object detection approach considered using Convolutional Neural Network (CNN). The CNN is used in all three methods (salient, objectness, and category-specific) of object detection. Deep learning frameworks and the platforms that are popular for the object detection task are also reviewed.

Key words: Salient, Objectness, Object Detection, F-RCNN, CNN.



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