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. 2404.04050
  4. Cited By
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D
  Scene Segmentation

No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation

5 April 2024
Xiangyang Zhu
Renrui Zhang
Bowei He
Ziyu Guo
Jiaming Liu
Han Xiao
Chaoyou Fu
Hao Dong
Peng Gao
    3DPC
ArXivPDFHTML

Papers citing "No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation"

9 / 9 papers shown
Title
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An
Guolei Sun
Yun Liu
Runjia Li
Min Wu
Ming-Ming Cheng
Ender Konukoglu
Serge J. Belongie
64
4
0
29 Oct 2024
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D
  Object Detection
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
Anthony Chen
Kevin Zhang
Renrui Zhang
Zihan Wang
Yuheng Lu
Yandong Guo
Shanghang Zhang
3DPC
67
59
0
14 Mar 2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Jianbo Shi
3DPC
32
10
0
01 Mar 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
167
241
0
28 May 2022
A Review of Location Encoding for GeoAI: Methods and Applications
A Review of Location Encoding for GeoAI: Methods and Applications
Gengchen Mai
K. Janowicz
Yingjie Hu
Song Gao
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
64
113
0
07 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
181
384
0
06 Nov 2021
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 J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
164
1,926
0
24 Oct 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1