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D scene graphs are an emerging 3D scene representation, that models both the objects present in the scene as well as their relationships.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Shapenet: An information-rich 3d model repository
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Scene graph generation from objects, phrases and region captions
Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, and Xiaogang Wang · 2017
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Graph r-cnn for scene graph generation
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, and Devi Parikh · 2018
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3d scene graph: A structure for unified semantics, 3d space, and camera
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Philip Bachman, R Devon Hjelm, and William Buchwalter · 2019
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Knowledge-embedded routing network for scene graph generation
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Kaveh Hassani and Mike Haley · 2019
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Self-supervised deep learning on point clouds by reconstructing space
Jonathan Sauder and Bjarne Sievers · 2019
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Iulia Turc, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Rio: 3d object instance re-localization in changing indoor environments
Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, and Matthias Niessner · 2019
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Momentum contrast for unsupervised visual representation learning
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Data-efficient image recognition with contrastive predictive coding
Olivier Henaff · 2020
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Self-supervised learning of pretext-invariant representations
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Info3d: Representation learning on 3d objects using mutual information maximization and contrastive learning
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Pointcontrast: Unsupervised pre-training for 3d point cloud understanding
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, and Or Litany · 2020
Explore contextual information for 3d scene graph generation
Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang, Bokai Liu, Qiang Zhang, Baocai Yin, and Xin Yang · 2022
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Language-grounded indoor 3d semantic segmentation in the wild
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Learning 3d semantic scene graphs with instance embeddings
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Glipv2: Unifying localization and vision-language understanding
Haotian* Zhang, Pengchuan* Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, and Jianfeng Gao · 2022
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Pla: Language-driven open-vocabulary 3d scene understanding
Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, and Xiaojuan Qi · 2023
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Shape self-correction for unsupervised point cloud understanding
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Graph-to-3d: End-to-end generation and manipulation of 3d scenes using scene graphs
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Exploring data-efficient 3d scene understanding with contrastive scene contexts
Ji Hou, Benjamin Graham, Matthias Niessner, and Saining Xie · 2021
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Spatio-temporal self-supervised representation learning for 3d point clouds
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
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Bipartite graph network with adaptive message passing for unbiased scene graph generation
Rongjie Li, Songyang Zhang, Bo Wan, and Xuming He · 2021
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Sgaligner : 3d scene alignment with scene graphs
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Incremental 3d semantic scene graph prediction from rgb sequences
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When and why vision-language models behave like bags-of-words, and what to do about it?
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