The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Scene Graph Generation With External Knowledge and Image Reconstruction
Open accessAbstract
Scene graph generation has received growing attention with the advancements in image understanding tasks such as object detection, attributes and relationship prediction, etc. However, existing datasets are biased in terms of object and relationship labels, or often come with noisy and missing annotations, which makes the development of a reliable scene graph prediction model very challenging. In this paper, we propose a novel scene graph generation algorithm with external knowledge and image reconstruction loss to overcome these dataset issues. In particular, we extract commonsense knowledge from the external knowledge base to refine object and phrase features for improving generalizability in scene graph generation. To address the bias of noisy object annotations, we introduce an auxiliary image reconstruction path to regularize the scene graph generation network. Extensive experiments show that our framework can generate better scene graphs, achieving the state-of-the-art performance on two benchmark datasets: Visual Relationship Detection and Visual Genome datasets.
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Cites
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Self-citationVisual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
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Cited by
Vision-language navigation with self-supervised auxiliary reasoning tasks
Zhu, F., Zhu, Y., Chang, X., & Liang, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.01003 · Cited by 223
From General to Specific: Informative Scene Graph Generation via Balance Adjustment
Guo, Y., Gao, L., Wang, X., Hu, Y., Xu, X., Lu, X., Shen, H. T., & Song, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01607 · Cited by 97
A Digital Companion Architecture for Ambient Intelligence
Garcia, K., Vontobel, J., & Mayer, S. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3659610 · Cited by 5
Metadata
- Authors
- Gu, J., Zhao, H., Lin, Z., Li, S., Cai, J., & Ling, M.
- Venue
- 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2019-06
- Pages
- 1969-1978
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2950096400
- Cited by
- 308
- References
- 49
- FWCI
- 13.92
- Type
- conference paper
- Language
- en
- Open access
- green
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- Gu, J., Zhao, H., Lin, Z., Li, S., Cai, J., & Ling, M. (2019). Scene Graph Generation With External Knowledge and Image Reconstruction. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr.2019.00207
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