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. 2403.01439
  4. Cited By
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer
  Learning for Point Cloud Analysis

Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis

3 March 2024
Xin Zhou
Dingkang Liang
Wei Xu
Xingkui Zhu
Yihan Xu
Zhikang Zou
Xiang Bai
ArXivPDFHTML

Papers citing "Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis"

25 / 25 papers shown
Title
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
Zixiang Ai
Zichen Liu
Yuanhang Lei
Zhenyu Cui
Xu Zou
Jiahuan Zhou
27
0
0
07 May 2025
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
Song Wang
Xiaolu Liu
Lingdong Kong
Jianyun Xu
Chunyong Hu
Gongfan Fang
Wentong Li
Jianke Zhu
Xinchao Wang
22
0
0
22 Apr 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
Xu Han
Yuan Tang
Jinfeng Xu
Xianzhi Li
48
0
0
24 Mar 2025
RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark
RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark
Ziteng Cui
Jianfei Yang
Tatsuya Harada
VLM
56
0
0
21 Mar 2025
Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
Xiaozhen Qiao
Peng Huang
Jiakang Yuan
Xianda Guo
Bowen Ye
Zhe Sun
Xuelong Li
60
0
0
12 Mar 2025
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters
Julia Hindel
Rohit Mohan
Jelena Bratulić
Daniele Cattaneo
Thomas Brox
Abhinav Valada
3DPC
79
0
0
05 Mar 2025
SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding
SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding
Liangtao Shi
Ting Liu
Xiantao Hu
Yue Hu
Quanjun Yin
Richang Hong
ObjD
46
0
0
24 Feb 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
37
6
0
23 Jan 2025
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Y. Wang
Wang Chen
Kang Yang
Deying Li
Jianfei Cai
3DPC
67
3
0
17 Jan 2025
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
Yaming Zhang
Chenqiang Gao
Fangcen Liu
Junjie Guo
Lan Wang
Xinggan Peng
Deyu Meng
87
0
0
21 Dec 2024
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked
  Autoencoders
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders
Yaohua Zha
Tao Dai
Yanzi Wang
Hang Guo
Taolin Zhang
Zhihao Ouyang
Chunlin Fan
B. Chen
Ke Chen
Shu-Tao Xia
3DPC
23
1
0
13 Oct 2024
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud
  Learning
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Dingkang Liang
Tianrui Feng
Xin Zhou
Yumeng Zhang
Zhikang Zou
Xiang Bai
21
5
0
10 Oct 2024
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual
  Transformers
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
Mengke Li
Da Li
Guoqing Yang
Yiu-ming Cheung
Hui Huang
3DPC
38
0
0
18 Jul 2024
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction
Yaohua Zha
Yanzi Wang
Tao Dai
Shu-Tao Xia
40
0
0
12 Jul 2024
A Unified Framework for 3D Scene Understanding
A Unified Framework for 3D Scene Understanding
Wei Xu
Chunsheng Shi
Sifan Tu
Xin Zhou
Dingkang Liang
Xiang Bai
VOS
23
3
0
03 Jul 2024
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for
  Vision
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
Minglei Li
Peng Ye
Yongqi Huang
Lin Zhang
Tao Chen
Tong He
Jiayuan Fan
Wanli Ouyang
MoE
22
4
0
05 Jun 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point
  Modeling
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha
Naiqi Li
Yanzi Wang
Tao Dai
Hang Guo
Bin Chen
Zhi Wang
Zhihao Ouyang
Shu-Tao Xia
Mamba
37
8
0
27 May 2024
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT
  Adaptation
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
Wangbo Zhao
Jiasheng Tang
Yizeng Han
Yibing Song
Kai Wang
Gao Huang
F. Wang
Yang You
30
11
0
18 Mar 2024
PointMamba: A Simple State Space Model for Point Cloud Analysis
PointMamba: A Simple State Space Model for Point Cloud Analysis
Dingkang Liang
Xin Zhou
Wei Xu
Xingkui Zhu
Zhikang Zou
Xiaoqing Ye
Xinyu Wang
Xiang Bai
84
87
0
16 Feb 2024
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
169
241
0
28 May 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
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
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
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
136
618
0
21 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
219
13,886
0
02 Dec 2016
1