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Modern 3D semantic instance segmentation approaches predominantly rely on specialized voting mechanisms followed by carefully designed geometric clustering techniques.
The Hungarian method for the assignment problem
Harold W Kuhn · 1955
Earlier work this paper cites.
Machine Analysis of Bubble Chamber Pictures
Paul VC Hough · 1959
Earlier work this paper cites.
A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu · 1996
Earlier work this paper cites.
Efficient Graph-Based Image Segmentation
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004
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Robust Object Detection with Interleaved Categorization and Segmentation
Bastian Leibe, Aleš Leonardis, and Bernt Schiele · 2008
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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VoxNet: A 3D Convolutional Neural Network for Real-time Object Recognition
Daniel Maturana and Sebastian Scherer · 2015
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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3D ShapeNets: A Deep Representation for Volumetric Shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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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
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Dynamic Filter Networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc V Gool · 2016
Earlier work this paper cites.
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Charles R Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, and Leonidas J Guibas · 2016
Earlier work this paper cites.
End-to-end people detection in crowded scenes
Russell Stewart, Mykhaylo Andriluka, and Andrew Y Ng · 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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Submanifold Sparse Convolutional Networks
Benjamin Graham and Laurens van der Maaten · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Earlier work this paper cites.
Pointnet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 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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O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, and Xin Tong · 2017
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Learning to Predict Crisp Boundaries
Ruoxi Deng, Chunhua Shen, Shengjun Liu, Huibing Wang, and Xinru Liu · 2018
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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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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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4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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3D Bird’s-eye-view Instance Segmentation
Cathrin Elich, Francis Engelmann, Theodora Kontogianni, and Bastian Leibe · 2019
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3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
Ji Hou, Angela Dai, and Matthias Nießner · 2019
Hierarchical Aggregation for 3D Instance Segmentation
Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, and Xinggang Wang · 2021
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Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng, Alex Schwing, and Alexander Kirillov · 2021
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 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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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou, Benjamin Graham, Matthias Nießner, and Saining Xie · 2021
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Cited alongside, same era.
3D Instance Segmentation via Multi-Task Metric Learning
Jean Lahoud, Bernard Ghanem, Marc Pollefeys, and Martin R Oswald · 2019
Cited alongside, same era.
MASC: Multi-Scale Affinity with Sparse Convolution for 3D Instance Segmentation
Chen Liu and Yasutaka Furukawa · 2019
Cited alongside, same era.
Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter · 2019
Cited alongside, same era.
Deep Hough Voting for 3D Object Detection in Point Clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
Cited alongside, same era.
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
Leslie N Smith and Nicholay Topin · 2019
Cited alongside, same era.
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
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
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Group-Free 3D Object Detection via Transformers
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, and Xin Tong · 2021
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An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, and Armand Joulin · 2021
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Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, and Francis Engelmann · 2021
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3D Object Detection With Pointformer
Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, and Gao Huang · 2021
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FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
Danila Rukhovich, Anna Vorontsova, and Anton Konushin · 2021
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Point Transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
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STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
Meida Chen, Qingyong Hu, Thomas Hugues, Andrew Feng, Yu Hou, Kyle McCullough, and Lucio Soibelman · 2022
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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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Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
Julian Chibane, Francis Engelmann, Tuan Anh Tran, and Gerard Pons-Moll · 2022
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Stratified Transformer for 3D Point Cloud Segmentation
Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, and Jiaya Jia · 2022
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Fast Point Transformer
Chunghyun Park, Yoonwoo Jeong, Minsu Cho, and Jaesik Park · 2022
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Language-Grounded Indoor 3D Semantic Segmentation in the Wild
David Rozenberszki, Or Litany, and Angela Dai · 2022
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SoftGroup for 3D Instance Segmentation on Point Clouds
Thang Vu, Kookhoi Kim, Tung M Luu, Xuan Thanh Nguyen, and Chang D Yoo · 2022
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MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation
Min Zhong, Xinghao Chen, Xiaokang Chen, Gang Zeng, and Yunhe Wang · 2022
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