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GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot
  Learning

GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning

12 April 2023
Tejas Anvekar
Dena Bazazian
    3DPC
ArXivPDFHTML

Papers citing "GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning"

12 / 12 papers shown
Title
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network
Haosheng Zhang
Hao Huang
31
0
0
06 Jan 2025
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Yan Chen
Di Huang
Zhichao Liao
Xi Cheng
Xinghui Li
Lone Zeng
3DPC
25
1
0
07 Sep 2024
Hyperbolic Metric Learning for Visual Outlier Detection
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
M. Pouly
A. Navarini
31
0
0
22 Mar 2024
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View
Shivanand Venkanna Sheshappanavar
Tejas Anvekar
Shivanand Kundargi
Yufan Wang
Chandra Kambhamettu
14
3
0
12 Feb 2024
Hyperbolic Deep Learning in Computer Vision: A Survey
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
15
19
0
11 May 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
54
59
0
30 Oct 2022
Rethinking the compositionality of point clouds through regularization
  in the hyperbolic space
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
Antonio Montanaro
D. Valsesia
E. Magli
3DPC
26
31
0
21 Sep 2022
Hyperbolic Deep Neural Networks: A Survey
Hyperbolic Deep Neural Networks: A Survey
Wei Peng
Tuomas Varanka
Abdelrahman Mostafa
Henglin Shi
Guoying Zhao
AI4CE
41
133
0
12 Jan 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
177
775
0
20 Dec 2020
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
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
161
1,926
0
24 Oct 2016
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