Fetching the paper…
Reading the bibliography…
Previous top-performing methods for 3D instance segmentation often maintain inter-task dependencies and the tendency towards a lack of robustness.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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.
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.
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
Earlier work this paper cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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
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 · 2018
Earlier work this paper cites.
4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
Earlier work this paper cites.
Learning to sample
Oren Dovrat, Itai Lang, and Shai Avidan · 2019
Earlier work this paper cites.
3D-SIS: 3d semantic instance segmentation of rgb-d scans
Ji Hou, Angela Dai, and Matthias Nießner · 2019
Earlier work this paper cites.
3d instance segmentation via multi-task metric learning
Jean Lahoud, Bernard Ghanem, Marc Pollefeys, and Martin R. Oswald · 2019
Earlier work this paper cites.
MASC: Multi-scale affinity with sparse convolution for 3d instance segmentation
Chen Liu and Yasutaka Furukawa · 2019
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Earlier work this paper cites.
Panopticfusion: Online volumetric semantic mapping at the level of stuff and things
Gaku Narita, Takashi Seno, Tomoya Ishikawa, and Yohsuke Kaji · 2019
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Earlier work this paper cites.
JSIS3D: Joint semantic-instance segmentation of 3d point clouds with multi-task pointwise networks and multi-value conditional random fields
Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, and Sai-Kit Yeung · 2019
Earlier work this paper cites.
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.
Associatively segmenting instances and semantics in point clouds
Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, and Jiaya Jia · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Partnet: A recursive part decomposition network for fine-grained and hierarchical shape segmentation
Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, and Kai Xu · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
3D-MPA: Multi proposal aggregation for 3d semantic instance segmentation
Group-free 3d object detection via transformers
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, and Xin Tong · 2021
Later among the works it cites.
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, and Armand Joulin · 2021
Later among the works it cites.
An end-to-end transformer model for 3d object detection
Ishan Misra, Rohit Girdhar, and Armand Joulin · 2021
Later among the works it cites.
3d object detection with pointformer
Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, and Gao Huang · 2021
Later among the works it cites.
Point cloud instance segmentation using probabilistic embeddings
Biao Zhang and Peter Wonka · 2021
Later among the works it cites.
Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, and Matthias Nießner · 2020
Cited alongside, same era.
Occuseg: Occupancy-aware 3d instance segmentation
Lei Han, Tian Zheng, Lan Xu, and Lu Fang · 2020
Cited alongside, same era.
Learning and memorizing representative prototypes for 3d point cloud semantic and instance segmentation
Tong He, Dong Gong, Zhi Tian, and Chunhua Shen · 2020
Cited alongside, same era.
Instance-aware embedding for point cloud instance segmentation
Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, and Changming Sun · 2020
Cited alongside, same era.
Pointgroup: Dual-set point grouping for 3d instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
Cited alongside, same era.
Samplenet: Differentiable point cloud sampling
Itai Lang, Asaf Manor, and Shai Avidan · 2020
Cited alongside, same era.
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.
Focal sparse convolutional networks for 3d object detection
Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, and Jiaya Jia · 2022
Closest in time.
Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
Closest in time.
Sparse instance activation for real-time instance segmentation
Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Wenqiang Zhang, Qian Zhang, Chang Huang, Zhaoxiang Zhang, and Wenyu Liu · 2022
Closest in time.
Pointinst3d: Segmenting 3d instances by points
Tong He, Chunhua Shen, and Anton van den Hengel · 2022
Closest in time.
Geometrymotion-transformer: An end-to-end framework for 3d action recognition
Jiaheng Liu, Jinyang Guo, and Dong Xu · 2022
Closest in time.
Mask3D for 3D Semantic Instance Segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe · 2022
Closest in time.
Softgroup for 3d instance segmentation on point clouds
Thang Vu, Kookhoi Kim, Tung M Luu, Thanh Nguyen, and Chang D Yoo · 2022
Closest in time.
Sparse fuse dense: Towards high quality 3d detection with depth completion
Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, and Deng Cai · 2022
Closest in time.
3d instances as 1d kernels
Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, and Weicai Zhong · 2022
Closest in time.
Graph r-cnn: Towards accurate 3d object detection with semantic-decorated local graph
Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, and Deng Cai · 2022
Closest in time.
Maskgroup: Hierarchical point grouping and masking for 3d instance segmentation
Min Zhong, Xinghao Chen, Xiaokang Chen, Gang Zeng, and Yunhe Wang · 2022
Closest in time.