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Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient
  Scene Graph Generation

Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation

30 May 2023
Maelic Neau
Paulo E. Santos
Anne-Gwenn Bosser
Cédric Buche
ArXivPDFHTML

Papers citing "Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation"

7 / 7 papers shown
Title
Enhancing Scene Graph Generation with Hierarchical Relationships and
  Commonsense Knowledge
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
Bowen Jiang
Zhijun Zhuang
Shreyas S. Shivakumar
Camillo J Taylor
33
7
0
21 Nov 2023
RelTR: Relation Transformer for Scene Graph Generation
RelTR: Relation Transformer for Scene Graph Generation
Yuren Cong
M. Yang
Bodo Rosenhahn
ViT
100
134
0
27 Jan 2022
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge
  Integration
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
Xuan Kan
Hejie Cui
Carl Yang
78
40
0
11 Jul 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene
  Graph Generation
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li
Songyang Zhang
Bo Wan
Xuming He
185
214
0
01 Apr 2021
Dimensions of Commonsense Knowledge
Dimensions of Commonsense Knowledge
Filip Ilievski
A. Oltramari
Kaixin Ma
Bin Zhang
D. McGuinness
Pedro A. Szekely
48
63
0
12 Jan 2021
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
223
815
0
04 Apr 2018
Visual Translation Embedding Network for Visual Relation Detection
Visual Translation Embedding Network for Visual Relation Detection
Hanwang Zhang
Zawlin Kyaw
Shih-Fu Chang
Tat-Seng Chua
ViT
154
560
0
27 Feb 2017
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