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Scene classification is a mature and active computer vision task, due to the inherent ambiguity. The scene classification task aims to classify the visual scene images in predefined categories based on the ambient content, objects and the layout of the images. Inspired by human visual scene...
In the last decade, deep supervised learning has had tremendous success. However, its flaws, such as its dependency on manual and costly annotations on large datasets and being exposed to attacks, have prompted researchers to look for alternative models. Incorporating contrastive learning (CL)...
This paper presents a novel similar image retrieval method for interior coordination. Interior coordination is very familiar; however, it is still an abstract and difficult concept. Even if we are involved in coordination every day, it does not mean we can become professional coordinators. By...
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