SGG 综述
SGG 论文
“Scene graph generation by iterative message passing”
CVPR 2017
Danfei Xu
Yuke Zhu
Christopher B. Choy
Li Fei-FeiDepartment of Computer Science, Stanford University
Stanford Computer Vision Lab“Detecting visual relationships with deep relational networks”
CVPR 2017 oral paper
Department of Information Engineering, The Chinese University of Hong Kong
“Scene graph generation from objects, phrases and region captions”
ICCV 2017
Yikang Li
Wanli Ouyang
Bolei Zhou
Kun Wang
Xiaogang WangThe Chinese University of Hong Kong, Hong Kong SAR, China
“Factorizable net: an efficient subgraph-based framework for scene graph generation”
ECCV 2018
Yikang Li
Wanli OuyangWanli Ouyang
Bolei Zhou
Jianping Shi
Chao Zhang
Xiaogang WangThe Chinese University of Hong Kong, Hong Kong SAR, China
“Neural motifs: Scene graph parsing with global context”
CVPR 2018 camera ready
Rowan Zellers
Mark Yatskar
Sam Thomson
Yejin ChoiPaul G. Allen School of Computer Science & Engineering, University of Washington
“Graph r-cnn for scene graph generation”
ECCV 2018 camera ready
“Knowledge-embedded routing network for scene graph generation”
CVPR 2019
Tianshui Chen
Weihao Yu
Riquan Chen
Liang LinSun Yat-Sen University DarkMatter AI Research
- “Graphical contrastive losses for scene graph parsing”
CVPR 2019
Ji Zhang
Kevin J. Shih
Ahmed Elgammal
Andrew Tao
Bryan CatanzaroDepartment of Computer Science, Rutgers University
“Learning to compose dynamic tree structures for visual contexts”
CVPR 2019
“Scene graph generation with external knowledge and image reconstruction”
CVPR 2019
Jiuxiang Gu
Handong Zhao
Zhe Lin
Sheng Li
Jianfei Cai
Mingyang LingROSE Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore
“Scene graph prediction with limited labels”
ICCV 2019
Vincent S. Chen
Paroma Varma
Ranjay Krishna
Michael Bernstein
Christopher Re
Li Fei-FeiStanford University
“Counterfactual critic multi-agent training for scene graph generation”
ICCV 2019 (oral)
Long Chen
Hanwang Zhang \ (https://www.researchgate.net/scientific-contributions/Hanwang-Zhang-2144620148) \ (https://dl.acm.org/profile/83358928557)
Jun Xiao
Xiangnan He
Shiliang Pu \ (https://www.researchgate.net/scientific-contributions/Shiliang-Pu-2116850663)
Shih-Fu ChangDCD Lab, College of Computer Science and Technology, Zhejiang University
“Visual Relationships as Functions: Enabling Few-Shot Scene Graph Predictio”
“Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction” arXiv检索
ICCV 2019 workshop
Apoorva Dornadula
Austin Narcomey
Ranjay Krishna
Michael Bernstein
Li Fei-FeiStanford University
“Unbiased Scene Graph Generation from Biased Training”
CVPR 2020
Kaihua Tang
Yulei Niu
Jianqiang Huang
Jiaxin Shi
Hanwang Zhang \ (https://www.researchgate.net/scientific-contributions/Hanwang-Zhang-2144620148) \ (https://dl.acm.org/profile/83358928557)Nanyang Technological University
