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** big data artificial intelligence (AI) techniques with possible …

Long-tailed classification by kee** the good and removing the bad momentum causal effect

K Tang, J Huang, H Zhang - Advances in neural information …, 2020 - proceedings.neurips.cc
As the class size grows, maintaining a balanced dataset across many classes is challenging
because the data are long-tailed in nature; it is even impossible when the sample-of-interest …

Causal intervention for weakly-supervised semantic segmentation

D Zhang, H Zhang, J Tang… - Advances in Neural …, 2020 - proceedings.neurips.cc
We present a causal inference framework to improve Weakly-Supervised Semantic
Segmentation (WSSS). Specifically, we aim to generate better pixel-level pseudo-masks by …

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 …

Multi-modal knowledge graph construction and application: A survey

X Zhu, Z Li, X Wang, X Jiang, P Sun… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …

Bipartite graph network with adaptive message passing for unbiased scene graph generation

R Li, S Zhang, B Wan, X He - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Scene graph generation is an important visual understanding task with a broad range of
vision applications. Despite recent tremendous progress, it remains challenging due to the …