RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract)
Keywords:RGB-D Scene Recognition, Semantic Domain, Appearance Domain
AbstractWe develop a RGB-D scene recognition model based on object-scene relation(RSBR). First learning a Semantic Network in the semantic domain that classifies the label of a scene on the basis of the labels of all object types. Then, we design an Appearance Network in the appearance domain that recognizes the scene according to local captions. We enforce the Semantic Network to guide the Appearance Network in the learning procedure. Based on the proposed RSBR model, we obtain the state-of-the-art results of RGB-D scene recognition on SUN RGB-D and NYUD2 datasets.
How to Cite
Guo, Y., & Liang, X. (2021). RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15787-15788. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17890
AAAI Student Abstract and Poster Program