RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract)

Authors

  • Yuhui Guo Renmin University of China
  • Xun Liang Renmin University of China

Keywords:

RGB-D Scene Recognition, Semantic Domain, Appearance Domain

Abstract

We 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.

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Published

2021-05-18

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

Issue

Section

AAAI Student Abstract and Poster Program