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S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
v1v2v3 (latest)

S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
30 October 2024
Maciej K. Wozniak
Hariprasath Govindarajan
Marvin Klingner
Camille Maurice
B Ravi Kiran
S. Yogamani
    3DPC
ArXiv (abs)PDFHTML

Papers citing "S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving"

50 / 58 papers shown
PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
Maciej K. Wozniak
Lianhang Liu
Yixi Cai
Patric Jensfelt
3DV
311
4
0
23 Jul 2025
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation
Hariprasath Govindarajan
Maciej K. Wozniak
Marvin Klingner
Camille Maurice
B. R. Kiran
S. Yogamani
415
1
0
12 Mar 2025
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-ClassesNeural Information Processing Systems (NeurIPS), 2024
T. Lentsch
Holger Caesar
D. Gavrila
3DPC
304
16
0
20 Feb 2025
On Partial Prototype Collapse in the DINO Family of Self-Supervised
  Methods
On Partial Prototype Collapse in the DINO Family of Self-Supervised MethodsBritish Machine Vision Conference (BMVC), 2024
Hariprasath Govindarajan
Per Sidén
Jacob Roll
Fredrik Lindsten
191
4
0
17 Oct 2024
DINO as a von Mises-Fisher mixture model
DINO as a von Mises-Fisher mixture modelInternational Conference on Learning Representations (ICLR), 2024
Hariprasath Govindarajan
Per Sidén
Jacob Roll
Fredrik Lindsten
264
17
0
17 May 2024
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous
  Driving
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
William Ljungbergh
Adam Tonderski
Joakim Johnander
Holger Caesar
Kalle Åström
Michael Felsberg
Christoffer Petersson
292
43
0
11 Apr 2024
UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object
  Detection with Sparse LiDAR and Large Domain Gaps
UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps
Maciej K. Wozniak
Mattias Hansson
Mark Thiel
Patric Jensfelt
531
14
0
26 Mar 2024
On Pretraining Data Diversity for Self-Supervised Learning
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Hammoud
Tuhin Das
Fabio Pizzati
Juil Sock
Adel Bibi
Guohao Li
395
9
0
20 Mar 2024
LISO: Lidar-only Self-Supervised 3D Object Detection
LISO: Lidar-only Self-Supervised 3D Object DetectionEuropean Conference on Computer Vision (ECCV), 2024
Stefan A. Baur
Frank Moosmann
Andreas Geiger
3DPC
294
24
0
11 Mar 2024
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D
  Object Detection
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Gyusam Chang
Wonseok Roh
Sujin Jang
Dongwook Lee
Daehyun Ji
Gyeongrok Oh
Jinsun Park
Jinkyu Kim
Sangpil Kim
3DPC
252
6
0
06 Mar 2024
M-BEV: Masked BEV Perception for Robust Autonomous Driving
M-BEV: Masked BEV Perception for Robust Autonomous Driving
Siran Chen
Yue Ma
Yu Qiao
Yali Wang
289
18
0
19 Dec 2023
NeuRAD: Neural Rendering for Autonomous Driving
NeuRAD: Neural Rendering for Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2023
Adam Tonderski
Carl Lindström
Georg Hess
William Ljungbergh
Lennart Svensson
Christoffer Petersson
273
125
0
26 Nov 2023
Three Pillars improving Vision Foundation Model Distillation for Lidar
Three Pillars improving Vision Foundation Model Distillation for LidarComputer Vision and Pattern Recognition (CVPR), 2023
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Oriane Siméoni
Corentin Sautier
Patrick Pérez
Andrei Bursuc
Renaud Marlet
500
32
0
26 Oct 2023
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point
  Clouds
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point CloudsInternational Conference on 3D Vision (3DV), 2023
Corentin Sautier
Gilles Puy
Alexandre Boulch
Renaud Marlet
Vincent Lepetit
3DPC
192
23
0
26 Oct 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level
  Bootstrapping
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingInternational Conference on Learning Representations (ICLR), 2023
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
372
11
0
11 Oct 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Segment Any Point Cloud Sequences by Distilling Vision Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
You-Chen Liu
Lingdong Kong
Jun Cen
Runnan Chen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
234
135
0
15 Jun 2023
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted
  Data
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data
Maciej K. Wozniak
Viktor Kårefjärd
Mark Thiel
Patric Jensfelt
3DPC
141
3
0
12 Jun 2023
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV
  Perception
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV PerceptionInternational Conference on Learning Representations (ICLR), 2023
Jiachen Sun
Haizhong Zheng
Qingzhao Zhang
Atul Prakash
Z. Morley Mao
Chaowei Xiao
SSL
272
13
0
01 Jun 2023
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation
  in 3D Object Detection
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection
Darren Tsai
J. S. Berrio
Mao Shan
E. Nebot
Stewart Worrall
3DPC
380
12
0
05 Apr 2023
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework
  for 3D Object Detection in Bird's-Eye View
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye ViewComputer Vision and Pattern Recognition (CVPR), 2023
Shengchao Zhou
Weizhou Liu
Chen Hu
Shuchang Zhou
Chaoxiang Ma
191
63
0
27 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on
  Long-Tail Data
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail DataInternational Conference on Learning Representations (ICLR), 2023
Anna Kukleva
Moritz Bohle
Bernt Schiele
Hilde Kuehne
Christian Rupprecht
256
62
0
23 Mar 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation
  Learning
CrOC: Cross-View Online Clustering for Dense Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023
Thomas Stegmüller
Tim Lebailly
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
230
22
0
23 Mar 2023
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D
  Object Detection
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Yanfeng Guo
Xiaoqing Ye
Xiao Tan
Errui Ding
Xiang Bai
3DPC
175
13
0
04 Jan 2023
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object
  Detection
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionInternational Conference on Learning Representations (ICLR), 2022
Zehui Chen
Zhenyu Li
Shiquan Zhang
Liangji Fang
Qinhong Jiang
Feng Zhao
313
81
0
17 Nov 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
219
62
0
13 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual FeaturesNeural Information Processing Systems (NeurIPS), 2022
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
239
154
0
04 Oct 2022
Self-Supervised Visual Representation Learning with Semantic Grouping
Self-Supervised Visual Representation Learning with Semantic GroupingNeural Information Processing Systems (NeurIPS), 2022
Xin Wen
Bingchen Zhao
Anlin Zheng
Xinming Zhang
Xiaojuan Qi
SSL
401
83
0
30 May 2022
PointDistiller: Structured Knowledge Distillation Towards Efficient and
  Compact 3D Detection
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Linfeng Zhang
Runpei Dong
Hung-Shuo Tai
Kaisheng Ma
3DPC
292
64
0
23 May 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient LearningEuropean Conference on Computer Vision (ECCV), 2022
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
330
379
0
14 Apr 2022
Object discovery and representation networks
Object discovery and representation networksEuropean Conference on Computer Vision (ECCV), 2022
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
421
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16 Mar 2022
PETR: Position Embedding Transformation for Multi-View 3D Object
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PETR: Position Embedding Transformation for Multi-View 3D Object DetectionEuropean Conference on Computer Vision (ECCV), 2022
Yingfei Liu
Tiancai Wang
Xinming Zhang
Jian Sun
3DPC
420
715
0
10 Mar 2022
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for
  Spatial-Aware Visual Representations
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Zhenyu Li
Zehui Chen
Ang Li
Liangji Fang
Qinhong Jiang
Xianming Liu
Junjun Jiang
Bolei Zhou
Hang Zhao
3DPCSSL
278
76
0
09 Dec 2021
MultiSiam: Self-supervised Multi-instance Siamese Representation
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MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous DrivingIEEE International Conference on Computer Vision (ICCV), 2021
Kai Chen
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Dit-Yan Yeung
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150
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0
27 Aug 2021
Efficient Self-supervised Vision Transformers for Representation
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Efficient Self-supervised Vision Transformers for Representation LearningInternational Conference on Learning Representations (ICLR), 2021
Chunyuan Li
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17 Jun 2021
Segmenter: Transformer for Semantic Segmentation
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Emerging Properties in Self-Supervised Vision Transformers
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Efficient Visual Pretraining with Contrastive Detection
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