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. 2303.11203
  4. Cited By
Less is More: Reducing Task and Model Complexity for 3D Point Cloud
  Semantic Segmentation

Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation

20 March 2023
Li Li
Hubert P. H. Shum
T. Breckon
ArXivPDFHTML

Papers citing "Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation"

26 / 26 papers shown
Title
Towards Learning to Complete Anything in Lidar
Towards Learning to Complete Anything in Lidar
Ayca Takmaz
Cristiano Saltori
Neehar Peri
Tim Meinhardt
Riccardo de Lutio
Laura Leal-Taixé
Aljosa Osep
3DV
VLM
46
0
0
16 Apr 2025
SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency
SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency
Yanbo Wang
Yongtao Chen
Chuan Cao
Tianchen Deng
Wentao Zhao
Jingchuan Wang
Weidong Chen
55
1
0
31 Mar 2025
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
Yuan Gao
Shaobo Xia
P. Wang
Xiaohuan Xi
Sheng Nie
Cheng-Xiang Wang
42
1
0
24 Mar 2025
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving
R.D. Lin
Pengcheng Weng
Y. Wang
H. Ding
Jinsong Han
Fei-Yue Wang
3DPC
48
0
0
22 Mar 2025
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR
  Semantic Segmentation
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation
Seungho Lee
Hwijeong Lee
Hyunjung Shim
29
0
0
09 Oct 2024
4D Contrastive Superflows are Dense 3D Representation Learners
4D Contrastive Superflows are Dense 3D Representation Learners
Xiang Xu
Lingdong Kong
Hui Shuai
Wenwei Zhang
Liang Pan
Kai Chen
Ziwei Liu
Qingshan Liu
3DPC
39
7
0
08 Jul 2024
From Category to Scenery: An End-to-End Framework for Multi-Person
  Human-Object Interaction Recognition in Videos
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
Tanqiu Qiao
Ruochen Li
Frederick W. B. Li
Hubert P. H. Shum
34
0
0
01 Jul 2024
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient
  and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
Li Li
K. Ismail
Hubert P. H. Shum
T. Breckon
27
19
0
14 Jun 2024
An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
Jiahao Sun
Chunmei Qing
Xiang Xu
Lingdong Kong
You-Chen Liu
...
Zeqi Xiao
Runnan Chen
Tai Wang
Wenwei Zhang
Kai-xiang Chen
3DV
42
6
0
23 May 2024
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale
  Perception
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception
Haoming Chen
Zhizhong Zhang
Yanyun Qu
Ruixin Zhang
Xin Tan
Yuan Xie
40
1
0
12 May 2024
A Survey on Occupancy Perception for Autonomous Driving: The Information
  Fusion Perspective
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
Huaiyuan Xu
Junliang Chen
Shiyu Meng
Yi Wang
Lap-Pui Chau
3DPC
39
16
0
08 May 2024
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
Lingdong Kong
Xiang Xu
Jiawei Ren
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Wei Tsang Ooi
Ziwei Liu
40
15
0
08 May 2024
Multi-Space Alignments Towards Universal LiDAR Segmentation
Multi-Space Alignments Towards Universal LiDAR Segmentation
You-Chen Liu
Lingdong Kong
Xiaoyang Wu
Runnan Chen
Xin Li
Liang Pan
Ziwei Liu
Yuexin Ma
3DPC
37
17
0
02 May 2024
Refining Segmentation On-the-Fly: An Interactive Framework for Point
  Cloud Semantic Segmentation
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation
Peng-Zhen Zhang
Ting Wu
Jinsheng Sun
Weiqing Li
Zhiyong Su
33
1
0
11 Mar 2024
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud
  Segmentation
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
Jie Liu
Wenzhe Yin
Haochen Wang
Yunlu Chen
J. Sonke
E. Gavves
3DPC
22
2
0
29 Jan 2024
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
Xiang Xu
Lingdong Kong
Hui Shuai
Qingshan Liu
3DPC
56
22
0
07 Dec 2023
U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation
U3DS3^33: Unsupervised 3D Semantic Scene Segmentation
Jiaxu Liu
Zhengdi Yu
T. Breckon
Hubert P. H. Shum
3DPC
16
7
0
10 Nov 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Binhui Xie
Shuang Li
Qingju Guo
Chi Harold Liu
Xinjing Cheng
VLM
19
8
0
31 Oct 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
You-Chen Liu
Lingdong Kong
Jun Cen
Runnan Chen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
27
83
0
15 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
27
18
0
31 May 2023
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
Xu Yan
Jiantao Gao
Chaoda Zheng
Chao Zheng
Ruimao Zhang
Shenghui Cui
Zhen Li
3DPC
84
213
0
10 Jul 2022
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu-Lin Liu
Chi-Wing Fu
Jiaya Jia
SSL
3DPC
118
115
0
15 Oct 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
119
202
0
27 Apr 2021
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic
  Segmentation
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Venice Erin Liong
Thi Ngoc Tho Nguyen
S. Widjaja
Dhananjai Sharma
Z. J. Chong
3DPC
132
110
0
09 Dec 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,357
0
07 Oct 2016
1