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Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual
  Transformers

Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers

18 July 2024
Mengke Li
Da Li
Guoqing Yang
Yiu-ming Cheung
Hui Huang
    3DPC
ArXivPDFHTML

Papers citing "Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers"

4 / 4 papers shown
Title
LPT: Long-tailed Prompt Tuning for Image Classification
LPT: Long-tailed Prompt Tuning for Image Classification
Bowen Dong
Pan Zhou
Shuicheng Yan
W. Zuo
VPVLM
VLM
41
52
0
03 Oct 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
141
631
0
26 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 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
1