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… - arXiv preprint arXiv …, 2022 - arxiv.org
Deep learning techniques have led to remarkable breakthroughs in the field of generic
object detection and have spawned a lot of scene-understanding tasks in recent years …

Hotr: End-to-end human-object interaction detection with transformers

B Kim, J Lee, J Kang, ES Kim… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Abstract Human-Object Interaction (HOI) detection is a task of identifying" a set of
interactions" in an image, which involves the i) localization of the subject (ie, humans) and …

Panoptic scene graph generation

J Yang, YZ Ang, Z Guo, K Zhou, W Zhang… - European Conference on …, 2022 - Springer
Existing research addresses scene graph generation (SGG)—a critical technology for scene
understanding in images—from a detection perspective, ie., objects are detected using …

The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

A Kuznetsova, H Rom, N Alldrin, J Uijlings… - International journal of …, 2020 - Springer
Abstract We present Open Images V4, a dataset of 9.2 M images with unified annotations for
image classification, object detection and visual relationship detection. The images have a …

Drg: Dual relation graph for human-object interaction detection

C Gao, J Xu, Y Zou, JB Huang - … Conference, Glasgow, UK, August 23–28 …, 2020 - Springer
We tackle the challenging problem of human-object interaction (HOI) detection. Existing
methods either recognize the interaction of each human-object pair in isolation or perform …

Learning human-object interaction detection using interaction points

T Wang, T Yang, M Danelljan… - Proceedings of the …, 2020 - openaccess.thecvf.com
Understanding interactions between humans and objects is one of the fundamental
problems in visual classification and an essential step towards detailed scene …

Uniondet: Union-level detector towards real-time human-object interaction detection

B Kim, T Choi, J Kang, HJ Kim - … Conference, Glasgow, UK, August 23–28 …, 2020 - Springer
Recent advances in deep neural networks have achieved significant progress in detecting
individual objects from an image. However, object detection is not sufficient to fully …

ican: Instance-centric attention network for human-object interaction detection

C Gao, Y Zou, JB Huang - arXiv preprint arXiv:1808.10437, 2018 - arxiv.org
Recent years have witnessed rapid progress in detecting and recognizing individual object
instances. To understand the situation in a scene, however, computers need to recognize …

Vsgnet: Spatial attention network for detecting human object interactions using graph convolutions

O Ulutan, ASM Iftekhar… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Comprehensive visual understanding requires detection frameworks that can effectively
learn and utilize object interactions while analyzing objects individually. This is the main …