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Embodied tasks require the agent to fully understand 3D scenes simultaneously with its exploration, so an online, real-time, fine-grained and highly-generalized 3D perception model is desperately needed.
Efficient graph-based image segmentation
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004
Earlier work this paper cites.
Scenenn: A scene meshes dataset with annotations
Binh-Son Hua, Quang-Hieu Pham, Duc Thanh Nguyen, Minh-Khoi Tran, Lap-Fai Yu, and Sai-Kit Yeung · 2016
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Pruning filters for efficient convnets
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf · 2016
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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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Semanticfusion: Dense 3d semantic mapping with convolutional neural networks
John McCormac, Ankur Handa, Andrew Davison, and Stefan Leutenegger · 2017
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Accelerated hierarchical density based clustering
Leland McInnes and John Healy · 2017
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3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens Van Der Maaten · 2018
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4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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6-dof graspnet: Variational grasp generation for object manipulation
Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2019
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Panopticfusion: Online volumetric semantic mapping at the level of stuff and things
Gaku Narita, Takashi Seno, Tomoya Ishikawa, and Yohsuke Kaji · 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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Object goal navigation using goal-oriented semantic exploration
Devendra Singh Chaplot, Dhiraj Prakashchand Gandhi, Abhinav Gupta, and Russ R Salakhutdinov · 2020
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Fusion-aware point convolution for online semantic 3d scene segmentation
Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, and Kai Xu · 2020
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Supervoxel convolution for online 3d semantic segmentation
Shi-Sheng Huang, Ze-Yu Ma, Tai-Jiang Mu, Hongbo Fu, and Shi-Min Hu · 2021
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Point-to-voxel knowledge distillation for lidar semantic segmentation
Yuenan Hou, Xinge Zhu, Yuexin Ma, Chen Change Loy, and Yikang Li · 2022
Cited alongside, same era.
Ins-conv: Incremental sparse convolution for online 3d segmentation
Leyao Liu, Tian Zheng, Yun-Jou Lin, Kai Ni, and Lu Fang · 2022
Cited alongside, same era.
Unsupervised class-agnostic instance segmentation of 3d lidar data for autonomous vehicles
Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, and Jens Behley · 2022
Cited alongside, same era.
Language-grounded indoor 3d semantic segmentation in the wild
David Rozenberszki, Or Litany, and Angela Dai · 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.
Openmask3d: Open-vocabulary 3d instance segmentation
Ayça Takmaz, Elisabetta Fedele, Robert W Sumner, Marc Pollefeys, Federico Tombari, and Francis Engelmann · 2023
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Sampro3d: Locating sam prompts in 3d for zero-shot scene segmentation
Mutian Xu, Xingyilang Yin, Lingteng Qiu, Yang Liu, Xin Tong, and Xiaoguang Han · 2023
Later among the works it cites.
Sam3d: Segment anything in 3d scenes
Yunhan Yang, Xiaoyang Wu, Tong He, Hengshuang Zhao, and Xihui Liu · 2023
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3d-aware object goal navigation via simultaneous exploration and identification
Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, and He Wang · 2023
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Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
Cited alongside, same era.
Segment anything
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
Cited alongside, same era.
Semantic-sam: Segment and recognize anything at any granularity
Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, and Jianfeng Gao · 2023
Cited alongside, same era.
Ovir-3d: Open-vocabulary 3d instance retrieval without training on 3d data
Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, and Kostas Bekris · 2023
Cited alongside, same era.
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
Cited alongside, same era.
Xu Zhao, Wenchao Ding, Yongqi An, Yinglong Du, Tao Yu, Min Li, Ming Tang, and Jinqiao Wang · 2023
Later among the works it cites.
Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, and Yong Jae Lee · 2023
Later among the works it cites.
Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation
Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, and Joan Lasenby · 2024
Closest in time.
Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance
Phuc D. A. Nguyen, Tuan Duc Ngo, Evangelos Kalogerakis, Chuang Gan, Anh Tran, Cuong Pham, and Khoi Nguyen · 2024
Closest in time.
Langsplat: 3d language gaussian splatting
Minghan Qin, Wanhua Li, Jiawei Zhou, Haoqian Wang, and Hanspeter Pfister · 2024
Closest in time.
Grounded sam: Assembling open-world models for diverse visual tasks, 2024
Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, Zhaoyang Zeng, Hao Zhang, Feng Li, Jie Yang, Hongyang Li, Qing Jiang, and Lei Zhang · 2024
Closest in time.
Unscene3d: Unsupervised 3d instance segmentation for indoor scenes
David Rozenberszki, Or Litany, and Angela Dai · 2024
Closest in time.
Memory-based adapters for online 3d scene perception
Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, and Jiwen Lu · 2024
Closest in time.
Gaussian grouping: Segment and edit anything in 3d scenes
Mingqiao Ye, Martin Danelljan, Fisher Yu, and Lei Ke · 2024
Closest in time.
Sai3d: Segment any instance in 3d scenes
Yingda Yin, Yuzheng Liu, Yang Xiao, Daniel Cohen-Or, Jingwei Huang, and Baoquan Chen · 2024
Closest in time.