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Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud
  Semantic Segmentation

Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation

23 May 2023
Shuting He
Xudong Jiang
Wei Jiang
Henghui Ding
    3DPC
ArXivPDFHTML

Papers citing "Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation"

10 / 10 papers shown
Title
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
M. Li
Korbinian Franz Rudolf
Nils Blank
Rudolf Lioutikov
3DPC
22
0
0
25 Apr 2025
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
38
4
0
29 Oct 2024
Primitive Generation and Semantic-related Alignment for Universal
  Zero-Shot Segmentation
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
Shuting He
Henghui Ding
Wei Jiang
VLM
55
34
0
19 Jun 2023
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation
Henghui Ding
Hui Zhang
Xudong Jiang
51
59
0
30 Oct 2022
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
VLM
3DPC
158
428
0
04 Dec 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
158
171
0
06 Aug 2021
Boundary-Aware Feature Propagation for Scene Segmentation
Boundary-Aware Feature Propagation for Scene Segmentation
Henghui Ding
Xudong Jiang
A. Liu
N. Magnenat-Thalmann
G. Wang
127
253
0
31 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 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 J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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