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Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic
  Weight Average and Contextual Ground Truth Sampling

Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling

7 October 2022
Daeun Lee
Jong-Hwa Park
Jinkyu Kim
    3DPC
ArXivPDFHTML

Papers citing "Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling"

4 / 4 papers shown
Title
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
135
403
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
221
839
0
31 Dec 2020
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
3DPC
155
482
0
26 Aug 2019
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
14,087
0
02 Dec 2016
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