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A Review of Deep Learning based Object Detection Techniques
International Journal for Research in Applied Science and Engineering Technology
The aim of object detection is to recognize instances of semantic objects belonging to a certain class within an image, accurately predict the location of the object in the image, and then to classify it according to a corresponding class label. In the past few years, there have been a lot of new and constantly improving models proposed for this task. Deep Learning based approaches, especially those involving Deep Convolutional Neural Networks, have been the most popular for good reason. Indoi:10.22214/ijraset.2019.9165 fatcat:3jt7rr3uuvdtbgilhg52cdiarm