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. 2411.00632
  4. Cited By
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud
  Understanding

PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding

1 November 2024
Jincen Jiang
Qianyu Zhou
Yuhang Li
Xinkui Zhao
Meili Wang
Lizhuang Ma
Jian Chang
Jian Jun Zhang
Xuequan Lu
    TTA
ArXiv (abs)PDFHTML

Papers citing "PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding"

27 / 27 papers shown
Title
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
Zhaochong An
Guolei Sun
Yun Liu
Runjia Li
Junlin Han
Ender Konukoglu
Serge Belongie
VLM
156
2
0
20 Mar 2025
DGMamba: Domain Generalization via Generalized State Space Model
DGMamba: Domain Generalization via Generalized State Space Model
Shaocong Long
Qianyu Zhou
Hefei Ling
Xuequan Lu
Chenhao Ying
Yuan Luo
Lizhuang Ma
Shuicheng Yan
110
10
0
11 Apr 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point
  Cloud Learning
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
Jincen Jiang
Lizhi Zhao
Xuequan Lu
Wei Hu
Imran Razzak
Meili Wang
SSL3DPC
68
8
0
05 Jan 2024
Explore In-Context Learning for 3D Point Cloud Understanding
Explore In-Context Learning for 3D Point Cloud Understanding
Zhongbin Fang
Xiangtai Li
Xia Li
J. M. Buhmann
Chen Change Loy
Mengyuan Liu
3DPC
78
27
0
14 Jun 2023
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Haozhi Cao
Yuecong Xu
Jianfei Yang
Pengyu Yin
Shenghai Yuan
Lihua Xie
TTA
57
18
0
18 Mar 2023
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Mario Döbler
Robert A. Marsden
Bin Yang
OODTTA
68
90
0
23 Nov 2022
Masked Autoencoders in 3D Point Cloud Representation Learning
Masked Autoencoders in 3D Point Cloud Representation Learning
Jincen Jiang
Xuequan Lu
Lizhi Zhao
Richard Dazeley
Meili Wang
3DPCViT
139
29
0
04 Jul 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OODVLMTTA
89
350
0
06 Apr 2022
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object
  Detection
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
Yi Wei
Zibu Wei
Yongming Rao
Jiaxin Li
Jie Zhou
Jiwen Lu
109
64
0
28 Mar 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OODTTA
110
432
0
25 Mar 2022
Masked Autoencoders for Point Cloud Self-supervised Learning
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
Wen Liu
Yonghong Tian
Liuliang Yuan
3DPCViT
111
477
0
13 Mar 2022
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
142
685
0
29 Nov 2021
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Qianyu Zhou
Zhengyang Feng
Qiqi Gu
Jiangmiao Pang
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
133
131
0
08 Aug 2021
Self-Adversarial Disentangling for Specific Domain Adaptation
Self-Adversarial Disentangling for Specific Domain Adaptation
Qianyu Zhou
Qiqi Gu
Jiangmiao Pang
Xuequan Lu
Lizhuang Ma
134
50
0
08 Aug 2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on
  Point Clouds
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu
Runyu Ding
Hengshuang Zhao
Xiaojuan Qi
3DPC
118
402
0
26 Mar 2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object
  Detection
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang
Shaoshuai Shi
Zhe Wang
Hongsheng Li
Xiaojuan Qi
3DPC
73
189
0
09 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
271
748
0
02 Mar 2021
PCT: Point cloud transformer
PCT: Point cloud transformer
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT3DPC
196
1,630
0
17 Dec 2020
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework
  for LiDAR Point Cloud Segmentation
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
Sicheng Zhao
Yezhen Wang
Yue Liu
Bichen Wu
Yang Gao
Pengfei Xu
Trevor Darrell
Kurt Keutzer
3DPC
95
93
0
07 Sep 2020
PointMixup: Augmentation for Point Clouds
PointMixup: Augmentation for Point Clouds
Yunlu Chen
Vincent Tao Hu
E. Gavves
Thomas Mensink
Pascal Mettes
Pengwan Yang
Cees G. M. Snoek
3DPC
72
158
0
14 Aug 2020
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
74
200
0
07 Nov 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
118
785
0
13 Aug 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
2,551
0
18 Apr 2019
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
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
505
4,084
0
14 Feb 2017
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 Guibas
3DH3DPC3DVPINN
500
14,384
0
02 Dec 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
176
5,538
0
09 Dec 2015
1