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3D-VField: Adversarial Augmentation of Point Clouds for Domain
  Generalization in 3D Object Detection

3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection

9 December 2021
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
M. N. Mahani
Nassir Navab
Benjamin Busam
F. Tombari
    3DPC
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Papers citing "3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection"

38 / 38 papers shown
Title
Gaussian Splatting is an Effective Data Generator for 3D Object Detection
Gaussian Splatting is an Effective Data Generator for 3D Object Detection
F. G. Zanjani
Davide Abati
Auke Wiggers
Dimitris Kalatzis
Jens Petersen
Hong Cai
A. Habibian
3DGS
166
0
0
23 Apr 2025
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
Dušan Malić
Christian Fruhwirth-Reisinger
Samuel Schulter
Horst Possegger
3DPC
65
0
0
11 Mar 2025
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant Features
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant Features
Hsin-Cheng Lu
Chung-Yi Lin
Winston H. Hsu
3DPC
63
0
0
04 Feb 2025
CloudFixer: Test-Time Adaptation for 3D Point Clouds via
  Diffusion-Guided Geometric Transformation
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation
Hajin Shim
Changhun Kim
Eunho Yang
TTA
36
5
0
23 Jul 2024
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud
  Understanding
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding
Jincen Jiang
Qianyu Zhou
Yuhang Li
Xuequan Lu
Meili Wang
Lizhuang Ma
Jian Chang
Jian Jun Zhang
OOD
58
13
0
11 Jul 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
80
1
0
21 Jun 2024
Multimodal 3D Object Detection on Unseen Domains
Multimodal 3D Object Detection on Unseen Domains
Deepti Hegde
Suhas Lohit
Kuan-Chuan Peng
Michael J. Jones
Vishal M. Patel
3DPC
53
2
0
17 Apr 2024
TTT-KD: Test-Time Training for 3D Semantic Segmentation through
  Knowledge Distillation from Foundation Models
TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models
Lisa Weijler
Muhammad Jehanzeb Mirza
Leon Sick
Can Ekkazan
Pedro Hermosilla
TTA
44
0
0
18 Mar 2024
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse
  Weather Conditions
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
Baolu Li
Jinlong Li
Xinyu Liu
Runsheng Xu
Zhengzhong Tu
Jiacheng Guo
Xiaopeng Li
Hongkai Yu
29
3
0
17 Mar 2024
An Empirical Study of the Generalization Ability of Lidar 3D Object
  Detectors to Unseen Domains
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
George Eskandar
Chongzhe Zhang
Abhishek Kaushik
Karim Guirguis
Mohamed Sayed
Bin Yang
OOD
3DPC
46
9
0
27 Feb 2024
GOOD: Towards Domain Generalized Orientated Object Detection
GOOD: Towards Domain Generalized Orientated Object Detection
Qi Bi
Beichen Zhou
Jingjun Yi
Wei Ji
Haolan Zhan
Gui-Song Xia
ObjD
OOD
85
2
0
20 Feb 2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality,
  and a Future Outlook
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
Mingyu Liu
Ekim Yurtsever
Jonathan Fossaert
Xingcheng Zhou
Walter Zimmer
Yuning Cui
B. L. Žagar
Alois Knoll
61
36
0
02 Jan 2024
Rethinking LiDAR Domain Generalization: Single Source as Multiple
  Density Domains
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
Jaeyeul Kim
Jungwan Woo
Jeonghoon Kim
Sunghoon Im
26
1
0
19 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
Xiaohu Lu
H. Radha
AAML
3DPC
39
0
0
05 Dec 2023
Demonstrating HOUND: A Low-cost Research Platform for High-speed
  Off-road Underactuated Nonholonomic Driving
Demonstrating HOUND: A Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving
Sidharth Talia
Matt Schmittle
Alexander Lambert
Alexander Spitzer
Christoforos Mavrogiannis
S. Srinivasa
27
4
0
19 Nov 2023
Domain Generalization of 3D Object Detection by Density-Resampling
Domain Generalization of 3D Object Detection by Density-Resampling
Shuangzhi Li
Lei Ma
Xingyu Li
3DPC
29
4
0
17 Nov 2023
ParisLuco3D: A high-quality target dataset for domain generalization of
  LiDAR perception
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception
Jules Sanchez
Louis Soum-Fontez
Jean-Emmanuel Deschaud
F. Goulette
3DPC
3DV
29
3
0
25 Oct 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
36
7
0
29 Aug 2023
Advancements in Point Cloud Data Augmentation for Deep Learning: A
  Survey
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
Qinfeng Zhu
Lei Fan
Ningxin Weng
3DPC
26
34
0
23 Aug 2023
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain
  Generalization of 3D Semantic Segmentation
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation
Miaoyu Li
Yachao Zhang
Xu Ma
Yanyun Qu
Yun Fu
30
11
0
12 Aug 2023
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place
  Recognition Using Geometric Priors
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors
Joshua Knights
Stephen Hausler
Sridha Sridharan
Clinton Fookes
Peyman Moghadam
27
10
0
09 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution
  Detection and Generalization
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODD
AI4TS
25
15
0
04 Aug 2023
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection
  Generalization
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization
Louis Soum-Fontez
Jean-Emmanuel Deschaud
Franccois Goulette
3DPC
11
8
0
02 Aug 2023
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and
  Class-balanced Pseudo-Labeling
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
Zhuoxiao Chen
Yadan Luo
Zheng Wang
Mahsa Baktashmotlagh
Zi Huang
34
21
0
16 Jul 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Xinyi Liu
Jinlong Li
Jin Ma
Huiming Sun
Zhigang Xu
Tianyu Zhang
Hongkai Yu
50
22
0
26 Jun 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
38
18
0
31 May 2023
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR
  Semantic Segmentation
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
Cristiano Saltori
Aljovsa Ovsep
Elisa Ricci
Laura Leal-Taixé
27
14
0
23 Apr 2023
3D Semantic Segmentation in the Wild: Learning Generalized Models for
  Adverse-Condition Point Clouds
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Aoran Xiao
Jiaxing Huang
Weihao Xuan
Ruijie Ren
Kangcheng Liu
Dayan Guan
Abdulmotaleb El Saddik
Shijian Lu
Eric P. Xing
29
42
0
03 Apr 2023
Instant Domain Augmentation for LiDAR Semantic Segmentation
Instant Domain Augmentation for LiDAR Semantic Segmentation
Kwonyoung Ryu
Soonmin Hwang
Jaesik Park
3DPC
30
19
0
25 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
48
26
0
24 Mar 2023
Impact, Attention, Influence: Early Assessment of Autonomous Driving
  Datasets
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets
Daniel Bogdoll
Jonas Hendl
Felix Schreyer
Nisha S. Gowda
Michael Färber
J. Marius Zöllner
24
4
0
05 Jan 2023
A Comprehensive Study of the Robustness for LiDAR-based 3D Object
  Detectors against Adversarial Attacks
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
Yifan Zhang
Junhui Hou
Yixuan Yuan
AAML
3DPC
27
30
0
20 Dec 2022
Domain generalization of 3D semantic segmentation in autonomous driving
Domain generalization of 3D semantic segmentation in autonomous driving
Jules Sanchez
Jean-Emmanuel Deschaud
F. Goulette
3DPC
21
24
0
07 Dec 2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
MATE: Masked Autoencoders are Online 3D Test-Time Learners
M. Jehanzeb Mirza
Inkyu Shin
Wei Lin
Andreas Schriebl
Kunyang Sun
...
Horst Possegger
Mateusz Koziñski
In So Kweon
Kun-Jin Yoon
Horst Bischof
TTA
3DPC
33
15
0
21 Nov 2022
Context-Aware Data Augmentation for LIDAR 3D Object Detection
Context-Aware Data Augmentation for LIDAR 3D Object Detection
Xu Hu
Zaipeng Duan
Jie Ma
3DPC
16
6
0
20 Nov 2022
SAILOR: Scaling Anchors via Insights into Latent Object Representation
SAILOR: Scaling Anchors via Insights into Latent Object Representation
Duvsan Malić
Christian Fruhwirth-Reisinger
Horst Possegger
Horst Bischof
35
5
0
14 Oct 2022
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
43
8
0
12 Sep 2022
Description of Corner Cases in Automated Driving: Goals and Challenges
Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll
Jasmin Breitenstein
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
Tim Fingscheidt
J. Marius Zöllner
43
55
0
20 Sep 2021
1