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Localization and Expansion: A Decoupled Framework for Point Cloud
  Few-shot Semantic Segmentation

Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation

25 August 2024
Zhaoyang Li
Yuan Wang
Wangkai Li
Rui Sun
Tianzhu Zhang
ArXivPDFHTML

Papers citing "Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation"

4 / 4 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
52
4
0
29 Oct 2024
Image-to-Image Matching via Foundation Models: A New Perspective for
  Open-Vocabulary Semantic Segmentation
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation
Yuan Wang
Rui Sun
Naisong Luo
Yuwen Pan
Tianzhu Zhang
VLM
38
9
0
30 Mar 2024
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
276
0
22 Jul 2020
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
1