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Industrial Scene Change Detection using Deep Convolutional Neural Networks
Finding and localizing the conceptual changes in two scenes in terms of the presence or removal of objects in two images belonging to the same scene at different times in special care applications is of great significance.
Localizing the conceptual difference of two scenes using deep learning for house keeping usages
The goal of this paper is to find and localize the conceptual differences of two frames of one scene but in two different times and classify the differences to addition, reduction and change in the field.
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning
This paper is based on deep learning methods and provides an effective way to detect and locate abnormal events in videos by handling spatio temporal data.
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