Exploring hierarchical spatial layout cues for 3d point cloud based scene graph prediction
3D scene graph prediction is important for intelligent agents to gather information and
perceive semantics of their environments. However, constructing an effective graph is …
perceive semantics of their environments. However, constructing an effective graph is …
Label semantic knowledge distillation for unbiased scene graph generation
The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise
visual relationships in a given image. Although SGG has achieved remarkable progress …
visual relationships in a given image. Although SGG has achieved remarkable progress …
Generalized unbiased scene graph generation
Existing Unbiased Scene Graph Generation (USGG) methods only focus on addressing the
predicate-level imbalance that high-frequency classes dominate predictions of rare ones …
predicate-level imbalance that high-frequency classes dominate predictions of rare ones …
End-to-end video scene graph generation with temporal propagation transformer
Video scene graph generation has been an emerging research topic, which aims to interpret
a video as a temporally-evolving graph structure by representing video objects as nodes …
a video as a temporally-evolving graph structure by representing video objects as nodes …
Knowledge-augmented few-shot visual relation detection
Visual Relation Detection (VRD) aims to detect relationships between objects for image
understanding. Most existing VRD methods rely on thousands of training samples of each …
understanding. Most existing VRD methods rely on thousands of training samples of each …
Review on scene graph generation methods
S NC - Multiagent and Grid Systems, 2024 - content.iospress.com
A scene graph generation is a structured way of representing the image in a graphical
network and it is mostly used to describe a scene's objects and attributes and the …
network and it is mostly used to describe a scene's objects and attributes and the …
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Recognition with Partial Positive Labels
As a cost-effective alternative to standard multi-label learning, the multi-label image
recognition with partial positive labels (MLR-PPL) task attracts increasing attention, in which …
recognition with partial positive labels (MLR-PPL) task attracts increasing attention, in which …
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling
Learning to build 3D scene graphs is essential for real-world perception in a structured and
rich fashion. However, previous 3D scene graph generation methods utilize a fully …
rich fashion. However, previous 3D scene graph generation methods utilize a fully …
Addressing Predicate Overlap in Scene Graph Generation with Semantics-prototype Learning
N Liang, Y Liu, F Wang, Y Xia - 2024 International Joint …, 2024 - ieeexplore.ieee.org
Scene graph generation (SGG) aims to detect triplet relationships< subject, predicate,
object> in a given image. Recent works have made steady progress on SGG, and serve as a …
object> in a given image. Recent works have made steady progress on SGG, and serve as a …
Open-Vocabulary Video Scene Graph Generation via Union-aware Semantic Alignment
Z Wu, J Gao, C Xu - ACM Multimedia 2024 - openreview.net
Video Scene Graph Generation (VidSGG) plays a crucial role in various visual-language
tasks by providing accessible structured visual relation knowledge. However, the …
tasks by providing accessible structured visual relation knowledge. However, the …