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 …

Consistency learning via decoding path augmentation for transformers in human object interaction detection

J Park, SJ Lee, H Heo, HK Choi… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Human-Object Interaction detection is a holistic visual recognition task that entails
object detection as well as interaction classification. Previous works of HOI detection has …

[PDF][PDF] Scene graphs: A survey of generations and applications

X Chang, P Ren, P Xu, Z Li, X Chen… - arXiv preprint arXiv …, 2021 - xiaojun.ai
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 …

Cognition guided human-object relationship detection

Z Zeng, P Dai, X Zhang, L Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human-object relationship detection reveals the fine-grained relationship between humans
and objects, helping the comprehensive understanding of videos. Previous human-object …

Attention-translation-relation network for scalable scene graph generation

N Gkanatsios, V Pitsikalis, P Koutras… - Proceedings of the …, 2019 - openaccess.thecvf.com
We find that most Scene Graph Generation approaches suffer from two limitations as they: 1)
use generic attention mechanisms and dataset-specific statistics that supersede visual …

[HTML][HTML] Scene graph generation: A comprehensive survey

H Li, G Zhu, L Zhang, Y Jiang, Y Dang, H Hou, P Shen… - Neurocomputing, 2024 - Elsevier
Deep learning techniques have led to remarkable breakthroughs in the field of object
detection and have spawned a lot of scene-understanding tasks in recent years. Scene …

Im2Graph: A Weakly Supervised Approach for Generating Holistic Scene Graphs from Regional Dependencies

S Ghosh, T Gonçalves, N Das - Future Internet, 2023 - mdpi.com
Conceptual representations of images involving descriptions of entities and their relations
are often represented using scene graphs. Such scene graphs can express relational …

[HTML][HTML] GTR: a grafting-then-reassembling framework for dynamic scene graph generation

J Liang, Y Wang, Z Wang, M Liu, R Fu… - Proceedings of the Thirty …, 2023 - dl.acm.org
Dynamic scene graph generation aims to identify visual relationships (subject-predicate-
object) in frames based on spatio-temporal contextual information in the video. Previous …

Towards overcoming false positives in visual relationship detection

D Jin, X Ma, C Zhang, Y Zhou, J Tao, M Zhang… - arXiv preprint arXiv …, 2020 - arxiv.org
In this paper, we investigate the cause of the high false positive rate in Visual Relationship
Detection (VRD). We observe that during training, the relationship proposal distribution is …