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We introduce Open3DIS, a novel solution designed to tackle the problem of Open-Vocabulary Instance Segmentation within 3D scenes.
A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al · 1996
Earlier work this paper cites.
Efficient graph-based image segmentation
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004
Earlier work this paper cites.
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.
Modern hierarchical, agglomerative clustering algorithms
Daniel Müllner · 2011
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Referitgame: Referring to objects in photographs of natural scenes
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Earlier work this paper cites.
Microsoft coco: Common objects in context
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Earlier work this paper cites.
Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models
Bryan A Plummer, Liwei Wang, Chris M Cervantes, Juan C Caicedo, Julia Hockenmaier, and Svetlana Lazebnik · 2015
Earlier work this paper cites.
3d semantic parsing of large-scale indoor spaces
Iro Armeni, Ozan Sener, Amir R Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016
Earlier work this paper cites.
Joint 2d-3d-semantic data for indoor scene understanding
Iro Armeni, Sasha Sax, Amir R Zamir, and Silvio Savarese · 2017
Earlier work this paper cites.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Earlier work this paper cites.
Submanifold sparse convolutional networks
Benjamin Graham and Laurens Van der Maaten · 2017
Earlier work this paper cites.
Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
Earlier work this paper cites.
3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens Van Der Maaten · 2018
Earlier work this paper cites.
Sgpn: Similarity group proposal network for 3d point cloud instance segmentation
Weiyue Wang, Ronald Yu, Qiangui Huang, and Ulrich Neumann · 2018
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Lvis: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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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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Point cloud oversegmentation with graph-structured deep metric learning
Loic Landrieu and Mohamed Boussaha · 2019
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Objects365: A large-scale, high-quality dataset for object detection
Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, Xiangyu Zhang, Jing Li, and Jian Sun · 2019
Earlier work this paper cites.
The replica dataset: A digital replica of indoor spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, et al · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Gspn: Generative shape proposal network for 3d instance segmentation in point cloud
Li Yi, Wang Zhao, He Wang, Minhyuk Sung, and Leonidas J Guibas · 2019
Earlier work this paper cites.
Pointgroup: Dual-set point grouping for 3d instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
Earlier work this paper cites.
The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al · 2020
Earlier work this paper cites.
ARKitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data
Gilad Baruch, Zhuoyuan Chen, Afshin Dehghan, Tal Dimry, Yuri Feigin, Peter Fu, Thomas Gebauer, Brandon Joffe, Daniel Kurz, Arik Schwartz, and Elad Shulman · 2021
Earlier work this paper cites.
Hierarchical aggregation for 3d instance segmentation
Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, and Xinggang Wang · 2021
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Dyco3d: Robust instance segmentation of 3d point clouds through dynamic convolution
Tong He, Chunhua Shen, and Anton van den Hengel · 2021
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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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Instance segmentation in 3d scenes using semantic superpoint tree networks
Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, and Kui Jia · 2021
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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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Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning
Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, et al · 2023
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Sam-guided graph cut for 3d instance segmentation
Haoyu Guo, He Zhu, Sida Peng, Yuang Wang, Yujun Shen, Ruizhen Hu, and Xiaowei Zhou · 2023
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Semantic-promoted debiasing and background disambiguation for zero-shot instance segmentation
Shuting He, Henghui Ding, and Wei Jiang · 2023
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Clip goes 3d: Leveraging prompt tuning for language grounded 3d recognition
Deepti Hegde, Jeya Maria Jose Valanarasu, and Vishal M Patel · 2023
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3d concept learning and reasoning from multi-view images
Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B Tenenbaum, and Chuang Gan · 2023
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Cheng Zhang, Haocheng Wan, Shengqiang Liu, Xinyi Shen, and Zizhao Wu · 2021
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Decoupling zero-shot semantic segmentation
Jian Ding, Nan Xue, Gui-Song Xia, and Dengxin Dai · 2022
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Learning regional purity for instance segmentation on 3d point clouds
Shichao Dong, Guosheng Lin, and Tzu-Yi Hung · 2022
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Pointinst3d: Segmenting 3d instances by points
Tong He, Wei Yin, Chunhua Shen, and Anton van den Hengel · 2022
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Learning superpoint graph cut for 3d instance segmentation
Le Hui, Linghua Tang, Yaqi Shen, Jin Xie, and Jian Yang · 2022
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Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, and Ehsan Elhamifar · 2022
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Multi-modal classifiers for open-vocabulary object detection
Prannay Kaul, Weidi Xie, and Andrew Zisserman · 2023
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Open-vocabulary object segmentation with diffusion models
Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, et al · 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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Openscene: 3d scene understanding with open vocabularies
Songyou Peng, Kyle Genova, Chiyu ”Max” Jiang, Andrea Tagliasacchi, Marc Pollefeys, and Thomas Funkhouser · 2023
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Lp-ovod: Open-vocabulary object detection by linear probing
Chau Pham, Truong Vu, and Khoi Nguyen · 2023
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Mask3d for 3d semantic instance segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe · 2023
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OpenMask3D: Open-Vocabulary 3D Instance Segmentation
Ay · 2023
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Mask-free ovis: Open-vocabulary instance segmentation without manual mask annotations
Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M Patel, and Ran Xu · 2023
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Object-aware distillation pyramid for open-vocabulary object detection
Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, and Si Liu · 2023
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Detclipv2: Scalable open-vocabulary object detection pre-training via word-region alignment
Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, and Hang Xu · 2023
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Scannet++: A high-fidelity dataset of 3d indoor scenes
Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, and Angela Dai · 2023
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Sai3d: Segment any instance in 3d scenes
Yingda Yin, Yuzheng Liu, Yang Xiao, Daniel Cohen-Or, Jingwei Huang, and Baoquan Chen · 2023
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A simple framework for open-vocabulary segmentation and detection
Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, and Lei Zhang · 2023
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Open-vocabulary universal image segmentation with maskclip
Zhuowen Tu Zheng Ding, Jieke Wang · 2023
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Object2scene: Putting objects in context for open-vocabulary 3d detection
Chenming Zhu, Wenwei Zhang, Tai Wang, Xihui Liu, and Kai Chen · 2023
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Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, and Yong Jae Lee · 2023
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Maskclustering: View consensus based mask graph clustering for open-vocabulary 3d instance segmentation, 2024
Mi Yan, Jiazhao Zhang, Yan Zhu, and He Wang · 2024
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