Abstract: Computer vision is a multidisciplinary field in computational intelligence and artificial intelligence that guide intelligent systems and machines towards understanding the content of images or video. It has come under the spotlight in recent times due to the remarkable advancement and breakthroughs day-by-day such as autonomous driving, intelligent systems, pedestrian system, robotics, medical imaging, remote sensing, object detection, security, speech sequence, image registration, biometric technologies, image retrieval and video processing to mention just a few. The aim of this work is to provide a systematic review in the application of deep learning in various aspects of computer vision that is object detection, object classification, scene classification, image segmentation, image retrieval, image registration, object recognition, feature extraction, image fusion and anomaly detection by providing detail description in a systematic way of all the deep learning techniqu...
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