Abstract
The technique of image recognitions is becoming more and more important to identify objects, places, and people. Currently, several deep learning methods on image recognition have been proposed. To identify multiple targets, the notion of region proposal has proposed which uses multiple resolution methods to improve accuracy, such as R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, SSD, and YOLO. However, these improvements are based on pixel. Still, there are uncertain objects which the human eye observes in the surrounding scene. At this time, we make guesses based on other, more clear objects. In the paper, we propose a method for object recognition using the probability of correlation between the objects. When performing object recognition in an image, we calculate the probability of correlation between the objects to adjust the related parameters and the weight values. Our proposed method improve the overall recognition of objects in the image.
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Li, MC., Sharma, L., Wu, SL. (2019). Enhance Object Detection Capability with the Object Relation. In: Esposito, C., Hong, J., Choo, KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN 2019. Communications in Computer and Information Science, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-30143-9_21
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DOI: https://doi.org/10.1007/978-3-030-30143-9_21
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