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Recently, sparse 3D convolutions have changed 3D object detection.
“Sun rgb-d: A rgb-d scene understanding benchmark suite,”
Shuran Song, Samuel P Lichtenberg, and Jianxiong Xiao, · 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.
“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.
“Deep hough voting for 3d object detection in point clouds,”
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas, · 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.
“H3dnet: 3d object detection using hybrid geometric primitives,”
Zaiwei Zhang, Bo Sun, Haitao Yang, and Qixing Huang, · 2020
Earlier work this paper cites.
“Generative sparse detection networks for 3d single-shot object detection,”
JunYoung Gwak, Christopher Choy, and Silvio Savarese, · 2020
Earlier work this paper cites.
“Imvotenet: Boosting 3d object detection in point clouds with image votes,”
Charles R Qi, Xinlei Chen, Or Litany, and Leonidas J Guibas, · 2020
Cited alongside, same era.
“Epnet: Enhancing point features with image semantics for 3d object detection,”
Tengteng Huang, Zhe Liu, Xiwu Chen, and Xiang Bai, · 2020
Cited alongside, same era.
MMDetection3D Contributors, · 2020
Cited alongside, same era.
“Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection,”
Danila Rukhovich, Anna Vorontsova, and Anton Konushin, · 2021
Cited alongside, same era.
“Multi-modality task cascade for 3d object detection,”
Jinhyung Park, Xinshuo Weng, Yunze Man, and Kris Kitani, · 2021
Cited alongside, same era.
“An end-to-end transformer model for 3d object detection,”
Ishan Misra, Rohit Girdhar, and Armand Joulin, · 2021
Later among the works it cites.
“Epnet++: Cascade bi-directional fusion for multi-modal 3d object detection,”
Zhe Liu, Tengteng Huang, Binglin Li, Xiwu Chen, Xi Wang, and Xiang Bai, · 2021
Later among the works it cites.
“Fcaf3d: fully convolutional anchor-free 3d object detection,”
Danila Rukhovich, Anna Vorontsova, and Anton Konushin, · 2022
Later among the works it cites.
“Multimodal token fusion for vision transformers,”
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, and Yunhe Wang, · 2022
Later among the works it cites.
“Rbgnet: Ray-based grouping for 3d object detection,”
Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, and Liwei Wang, · 2022
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“Back-tracing representative points for voting-based 3d object detection in point clouds,”
Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, and Dong Xu, · 2021
Cited alongside, same era.
“Group-free 3d object detection via transformers,”
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, and Xin Tong, · 2021
Cited alongside, same era.
Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, and Qi Tian, · 2022
Later among the works it cites.