A comprehensive survey of scene graphs: Generation and application

X Chang, P Ren, P Xu, Z Li, X Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …

Scene graph generation: A comprehensive survey

G Zhu, L Zhang, Y Jiang, Y Dang, H Hou… - ar** visual reasoning tasks such as scene graph generation and visual …

Sgtr: End-to-end scene graph generation with transformer

R Li, S Zhang, X He - … of the IEEE/CVF conference on …, 2022 - openaccess.thecvf.com
Abstract Scene Graph Generation (SGG) remains a challenging visual understanding task
due to its compositional property. Most previous works adopt a bottom-up two-stage or a …

Gps-net: Graph property sensing network for scene graph generation

X Lin, C Ding, J Zeng, D Tao - Proceedings of the IEEE/CVF …, 2020 - openaccess.thecvf.com
Scene graph generation (SGG) aims to detect objects in an image along with their pairwise
relationships. There are three key properties of scene graph that have been underexplored …

Transferable interactiveness knowledge for human-object interaction detection

YL Li, S Zhou, X Huang, L Xu, Z Ma… - Proceedings of the …, 2019 - openaccess.thecvf.com
Abstract Human-Object Interaction (HOI) Detection is an important problem to understand
how humans interact with objects. In this paper, we explore Interactiveness Knowledge …

Graphical contrastive losses for scene graph parsing

J Zhang, KJ Shih, A Elgammal, A Tao… - Proceedings of the …, 2019 - openaccess.thecvf.com
Most scene graph parsers use a two-stage pipeline to detect visual relationships: the first
stage detects entities, and the second predicts the predicate for each entity pair using a …