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Learning from bounding-boxes annotations has shown great potential in weakly-supervised 3D point cloud instance segmentation.
Efficient graph-based image segmentation
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004
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Joint 2D-3D-Semantic Data for Indoor Scene Understanding
I. Armeni, A. Sax, A. R. Zamir, and S. Savarese · 2017
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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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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3d-sis: 3d semantic instance segmentation of rgb-d scans
Ji Hou, Angela Dai, and Matthias Nießner · 2019
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Masc: Multi-scale affinity with sparse convolution for 3d instance segmentation
Chen Liu and Yasutaka Furukawa · 2019
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Learning object bounding boxes for 3d instance segmentation on point clouds
Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, and Niki Trigoni · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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3d-mpa: Multi-proposal aggregation for 3d semantic instance segmentation
Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, and Matthias Nießner · 2020
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Pointgroup: Dual-set point grouping for 3d instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
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Learning gaussian instance segmentation in point clouds
Shih-Hung Liu, Shang-Yi Yu, Shao-Chi Wu, Hwann-Tzong Chen, and Tyng-Luh Liu · 2020
Cited alongside, same era.
Pointcontrast: Unsupervised pre-training for 3d point cloud understanding
Saining Xie, Jiatao Gu, Demi Guo, Charles R Qi, Leonidas Guibas, and Or Litany · 2020
Cited alongside, same era.
Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels
Xun Xu and Gim Hee Lee · 2020
Cited alongside, same era.
Hierarchical aggregation for 3d instance segmentation
Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, and Xinggang Wang · 2021
Cited alongside, same era.
Mask2former for video instance segmentation
Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, and Alexander G Schwing · 2021
Cited alongside, same era.
Softgroup++: Scalable 3d instance segmentation with octree pyramid grouping
Thang Vu, Kookhoi Kim, Tung M Luu, Thanh Nguyen, Junyeong Kim, and Chang D Yoo · 2022
Later among the works it cites.
Softgroup for 3d instance segmentation on point clouds
Thang Vu, Kookhoi Kim, Tung M Luu, Thanh Nguyen, and Chang D Yoo · 2022
Later among the works it cites.
Dual adaptive transformations for weakly supervised point cloud segmentation
Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, and Chen Qian · 2022
Later among the works it cites.
Weakly-supervised point cloud instance segmentation with geometric priors
Heming Du, Xin Yu, Farookh Hussain, Mohammad Ali Armin, Lars Petersson, and Weihao Li · 2023
Closest in time.
Instruct2act: Mapping multi-modality instructions to robotic actions with large language model
Siyuan Huang, Zhengkai Jiang, Hao Dong, Yu Qiao, Peng Gao, and Hongsheng Li · 2023
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Exploring data-efficient 3d scene understanding with contrastive scene contexts
Ji Hou, Benjamin Graham, Matthias Nießner, and Saining Xie · 2021
Cited alongside, same era.
Instance segmentation in 3d scenes using semantic superpoint tree networks
Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, and Kui Jia · 2021
Cited alongside, same era.
One thing one click: A self-training approach for weakly supervised 3d semantic segmentation
Zhengzhe Liu, Xiaojuan Qi, and Chi-Wing Fu · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Box2mask: Weakly supervised 3d semantic instance segmentation using bounding boxes
Julian Chibane, Francis Engelmann, Tuan Anh Tran, and Gerard Pons-Moll · 2022
Cited alongside, same era.
Mask3d for 3d semantic instance segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe · 2022
Cited alongside, same era.
Superpoint transformer for 3d scene instance segmentation
Jiahao Sun, Chunmei Qing, Junpeng Tan, and Xiangmin Xu · 2022
Cited alongside, same era.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Segment any point cloud sequences by distilling vision foundation models
Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, and Ziwei Liu · 2023
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Segment anything in medical images
Jun Ma and Bo Wang · 2023
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Isbnet: a 3d point cloud instance segmentation network with instance-aware sampling and box-aware dynamic convolution
Tuan Duc Ngo, Binh-Son Hua, and Khoi Nguyen · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Detect any shadow: Segment anything for video shadow detection
Yonghui Wang, Wengang Zhou, Yunyao Mao, and Houqiang Li · 2023
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Inpaint anything: Segment anything meets image inpainting
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, and Zhibo Chen · 2023
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