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LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object
  Detection

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

28 March 2022
Yi Wei
Zibu Wei
Yongming Rao
Jiaxin Li
Jie Zhou
Jiwen Lu
ArXivPDFHTML

Papers citing "LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection"

13 / 13 papers shown
Title
Learning 3D Perception from Others' Predictions
Learning 3D Perception from Others' Predictions
Jinsu Yoo
Zhenyang Feng
Tai-Yu Pan
Yihong Sun
Cheng Perng Phoo
Xiangyu Chen
Mark Campbell
Kilian Q. Weinberger
Bharath Hariharan
Wei-Lun Chao
56
1
0
03 Oct 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen
Junjie Meng
Mahsa Baktashmotlagh
Yonggang Zhang
Zi Huang
Yadan Luo
72
0
0
21 Jun 2024
Semantic Segmentation on 3D Point Clouds with High Density Variations
Semantic Segmentation on 3D Point Clouds with High Density Variations
Ryan Faulkner
Luke Haub
Simon Ratcliffe
Ian Reid
Tat-Jun Chin
3DPC
28
1
0
04 Jul 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
27
18
0
31 May 2023
X$^3$KD: Knowledge Distillation Across Modalities, Tasks and Stages for
  Multi-Camera 3D Object Detection
X3^33KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
Marvin Klingner
Shubhankar Borse
V. Kumar
B. Rezaei
V. Narayanan
S. Yogamani
Fatih Porikli
29
21
0
03 Mar 2023
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
Xu Yan
Chaoda Zheng
Ying Xue
Zhen Li
Shuguang Cui
Dengxin Dai
AAML
3DV
3DPC
16
18
0
03 Jan 2023
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain
  Adaptive 3D Object Detection
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde
Vishwanath A. Sindagi
Velat Kilic
A. Cooper
Mark A. Foster
Vishal M. Patel
3DPC
115
23
0
29 Sep 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
216
835
0
31 Dec 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
148
196
0
23 Mar 2020
Exploring Categorical Regularization for Domain Adaptive Object
  Detection
Exploring Categorical Regularization for Domain Adaptive Object Detection
Chang-Dong Xu
Xingjie Zhao
Xin Jin
Xiu-Shen Wei
OOD
ObjD
127
250
0
20 Mar 2020
Harmonizing Transferability and Discriminability for Adapting Object
  Detectors
Harmonizing Transferability and Discriminability for Adapting Object Detectors
Chaoqi Chen
Zebiao Zheng
Xinghao Ding
Yue Huang
Qi Dou
40
270
0
13 Mar 2020
Lightweight Image Super-Resolution with Information Multi-distillation
  Network
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui
Xinbo Gao
Yunchu Yang
Xiumei Wang
SupR
63
862
0
26 Sep 2019
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
267
402
0
09 Apr 2018
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