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WLST: Weak Labels Guided Self-training for Weakly-supervised Domain
  Adaptation on 3D Object Detection

WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection

5 October 2023
T. Tsou
Tsung-Han Wu
Winston H. Hsu
ArXivPDFHTML

Papers citing "WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection"

4 / 4 papers shown
Title
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
Yanpeng Cao
173
111
0
27 Feb 2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector
  Representation for 3D Object Detection
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi
Li Jiang
Jiajun Deng
Zhe Wang
Chaoxu Guo
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
139
404
0
31 Jan 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Jiajun Deng
Shaoshuai Shi
Pei-Cian Li
Wen-gang Zhou
Yanyong Zhang
Houqiang Li
3DPC
231
842
0
31 Dec 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
1