Configurable Graph Reasoning for Visual Relationship Detection

• Published in: IEEE transaction on neural networks and learning systems Vol. 33; no. 1; pp. 117 - 129
• Main Authors: Zhu, Yi, Liang, Xiwen, Lin, Bingqian, Ye, Qixiang, Jiao, Jianbin, Lin, Liang, Liang, Xiaodan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Benchmarks; Cognition; Correlation; Feature extraction; Graph learning; Knowledge; Knowledge engineering; Knowledge representation; Labels; Neural Networks, Computer; Object recognition; Proposals; Reasoning; Recognition, Psychology; scene graph generation; Semantics; visual reasoning; visual relationship detection (VRD); Visualization

Visual commonsense knowledge has received growing attention in the reasoning of long-tailed visual relationships biased in terms of object and relation labels. Most current methods typically collect and utilize external knowledge for visual relationships by following the fixed reasoning path of {sub...