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Current point-cloud detection methods have difficulty detecting the open-vocabulary objects in the real world, due to their limited generalization capability.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Sun rgb-d: A rgb-d scene understanding benchmark suite
Shuran Song, Samuel P Lichtenberg, and Jianxiong Xiao · 2015
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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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PIXOR: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
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SqueezeSeg: Convolutional neural nets with recurrent CRF for real-time road-object segmentation from 3d lidar point cloud
Bichen Wu, Alvin Wan, Xiangyu Yue, and Kurt Keutzer · 2018
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PointFusion: Deep sensor fusion for 3D bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
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VoxelNet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, and Kurt Keutzer · 2019
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Point-RCNN: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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Zero-shot learning of 3d point cloud objects
Ali Cheraghian, Shafin Rahman, and Lars Petersson · 2019
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Mitigating the hubness problem for zero-shot learning of 3d objects
Ali Cheraghian, Shafin Rahman, Dylan Campbell, and Lars Petersson · 2019
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Transferable contrastive network for generalized zero-shot learning
Huajie Jiang, Ruiping Wang, Shiguang Shan, and Xilin Chen · 2019
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Deep hough voting for 3d object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
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Deep hough voting for 3d object detection in point clouds
C. Qi, Or Litany, Kaiming He, and Leonidas J. Guibas · 2019
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Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation
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From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
Image2point: 3d point-cloud understanding with pretrained 2d convnets
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You only group once: Efficient point-cloud processing with token representation and relation inference module
Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, and Masayoshi Tomizuka · 2021
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Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Point transformer
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Visual transformers: Token-based image representation and processing for computer vision
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, and Peter Vajda · 2020
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Detecting twenty-thousand classes using image-level supervision
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