ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.08226
  4. Cited By
Self-Distillation for Unsupervised 3D Domain Adaptation

Self-Distillation for Unsupervised 3D Domain Adaptation

15 October 2022
Adriano Cardace
Riccardo Spezialetti
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Self-Distillation for Unsupervised 3D Domain Adaptation"

50 / 61 papers shown
Title
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Yuefan Shen
Yanchao Yang
Mi Yan
He Wang
Youyi Zheng
Leonidas Guibas
3DPC
74
45
0
17 Dec 2021
RefRec: Pseudo-labels Refinement via Shape Reconstruction for
  Unsupervised 3D Domain Adaptation
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
Adriano Cardace
Riccardo Spezialetti
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
47
15
0
21 Oct 2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object
  Point Clouds
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds
Longkun Zou
Hui Tang
Ke Chen
Kui Jia
3DPC
35
63
0
20 Aug 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely
  and Noisily Labeled Graphs
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Enyan Dai
Charu C. Aggarwal
Suhang Wang
NoLa
87
120
0
08 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
724
6,135
0
29 Apr 2021
Two-phase Pseudo Label Densification for Self-training based Domain
  Adaptation
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
Inkyu Shin
Sanghyun Woo
Fei Pan
InSo Kweon
68
114
0
09 Dec 2020
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object
  Detection
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
He Wang
Yezhen Cong
Or Litany
Yue Gao
Leonidas Guibas
3DPC
80
123
0
08 Dec 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Riccardo Spezialetti
Federico Stella
M. Marcon
Luciano Silva
Samuele Salti
Luigi Di Stefano
37
40
0
06 Nov 2020
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
101
794
0
08 Sep 2020
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei
Chuang Zhu
Jiaqi Zou
Shanghang Zhang
71
307
0
27 Aug 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu
Han Hu
Yue Cao
Zheng Zhang
Xin Tong
3DPC
71
185
0
02 Jul 2020
Self-training Avoids Using Spurious Features Under Domain Shift
Self-training Avoids Using Spurious Features Under Domain Shift
Yining Chen
Colin Wei
Ananya Kumar
Tengyu Ma
OOD
88
85
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
398
6,844
0
13 Jun 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges
A. Alliegro
Davide Boscaini
Tatiana Tommasi
3DPCSSL
54
42
0
15 Apr 2020
Learning Texture Invariant Representation for Domain Adaptation of
  Semantic Segmentation
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
Myeongjin Kim
H. Byun
OOD
74
277
0
02 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks
  with Adaptive Sampling
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan
Chaoda Zheng
Zhuguo Li
Sheng Wang
Shuguang Cui
3DPC
92
552
0
01 Mar 2020
Unsupervised Scene Adaptation with Memory Regularization in vivo
Unsupervised Scene Adaptation with Memory Regularization in vivo
Zhedong Zheng
Yi Yang
CLL
79
117
0
24 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
147
2,907
0
10 Dec 2019
Grid-GCN for Fast and Scalable Point Cloud Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPCGNN
83
245
0
06 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,639
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,136
0
13 Nov 2019
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud
  Representation
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin
Haoxuan You
Lichen Wang
C.-C. Jay Kuo
Y. Fu
3DPC
69
200
0
07 Nov 2019
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Minghao Chen
Hongyang Xue
Deng Cai
82
288
0
30 Sep 2019
Self-Training and Adversarial Background Regularization for Unsupervised
  Domain Adaptive One-Stage Object Detection
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
Seunghyeon Kim
Jaehoon Choi
Taekyung Kim
Changick Kim
78
192
0
02 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
352
797
0
26 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV3DPC
108
784
0
13 Aug 2019
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Yunsheng Li
Lu Yuan
Nuno Vasconcelos
SSeg
95
631
0
24 Apr 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
171
2,546
0
18 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
3DPC
107
896
0
16 Apr 2019
Few-shot Adaptive Faster R-CNN
Few-shot Adaptive Faster R-CNN
Tao Wang
Xiaopeng Zhang
Li-xin Yuan
Jiashi Feng
ObjD
103
132
0
22 Mar 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Jiliang Tang
Dawei Yin
256
1,904
0
19 Feb 2019
Label Efficient Semi-Supervised Learning via Graph Filtering
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li
Xiao-Ming Wu
Han Liu
Xiaotong Zhang
Zhichao Guan
78
167
0
28 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
788
8,579
0
03 Jan 2019
Session-based Recommendation with Graph Neural Networks
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
74
1,562
0
01 Nov 2018
DeepInf: Social Influence Prediction with Deep Learning
DeepInf: Social Influence Prediction with Deep Learning
J. Qiu
Jian Tang
Hao Ma
Yuxiao Dong
Kuansan Wang
Jie Tang
GNNAI4CE
80
546
0
15 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
88
1,901
0
15 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
185
3,468
0
05 May 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen
Wen Li
Daniel Gehrig
Dengxin Dai
Luc Van Gool
OODObjD
108
1,304
0
08 Mar 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OODSSeg
160
1,549
0
28 Feb 2018
Open3D: A Modern Library for 3D Data Processing
Open3D: A Modern Library for 3D Data Processing
Qian-Yi Zhou
Jaesik Park
V. Koltun
PINNAI4CE
74
1,624
0
30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
260
6,177
0
24 Jan 2018
Pointwise Convolutional Neural Networks
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC3DV
58
508
0
14 Dec 2017
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
98
1,796
0
07 Dec 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
147
3,008
0
08 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,265
0
30 Oct 2017
Super-Convergence: Very Fast Training of Neural Networks Using Large
  Learning Rates
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
L. Smith
Nicholay Topin
AI4CE
86
520
0
23 Aug 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
366
11,154
0
07 Jun 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OODMoMe
335
1,273
0
06 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
270
4,675
0
17 Feb 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC3DV
500
4,084
0
14 Feb 2017
12
Next