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Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models

14 April 2023
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
    VLM
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Papers citing "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models"

44 / 44 papers shown
Title
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
27
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
51
0
0
24 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
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Younggun Kim
Beomsik Cho
Seonghoon Ryoo
Soomok Lee
3DPC
99
0
0
27 Jan 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
46
7
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
83
3
0
17 Jan 2025
BoostAdapter: Improving Vision-Language Test-Time Adaptation via
  Regional Bootstrapping
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
Taolin Zhang
J. T. Wang
Hang Guo
Tao Dai
B. Chen
Shu-Tao Xia
VLM
TTA
19
0
0
20 Oct 2024
Scene Graph Generation with Role-Playing Large Language Models
Scene Graph Generation with Role-Playing Large Language Models
Guikun Chen
Jin Li
Wenguan Wang
VLM
48
5
0
20 Oct 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
28
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
26
5
0
10 Oct 2024
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
Yunze Liu
Li Yi
Mamba
45
2
0
01 Oct 2024
Positional Prompt Tuning for Efficient 3D Representation Learning
Positional Prompt Tuning for Efficient 3D Representation Learning
Shaochen Zhang
Zekun Qi
Runpei Dong
Xiuxiu Bai
Xing Wei
37
2
0
21 Aug 2024
Large Point-to-Gaussian Model for Image-to-3D Generation
Large Point-to-Gaussian Model for Image-to-3D Generation
Longfei Lu
Huachen Gao
Tao Dai
Yaohua Zha
Zhi Hou
Junta Wu
Shu-Tao Xia
3DGS
DiffM
29
4
0
20 Aug 2024
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion
  Forecasting Models
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Jifeng Wang
Kaouther Messaoud
Yuejiang Liu
Juergen Gall
Alexandre Alahi
34
0
0
28 Jul 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot
  Anomaly Detection
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
Yunkang Cao
Jiangning Zhang
Luca Frittoli
Yuqi Cheng
Weiming Shen
Giacomo Boracchi
VLM
48
29
0
22 Jul 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
48
0
0
18 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks
CLIP-Guided Networks for Transferable Targeted Attacks
Hao Fang
Jiawei Kong
Bin Chen
Tao Dai
Hao Wu
Shu-Tao Xia
AAML
63
4
0
14 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
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer:
  A Disentangled Approach
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
Taolin Zhang
Jiawang Bai
Zhihe Lu
Dongze Lian
Genping Wang
Xinchao Wang
Shu-Tao Xia
28
4
0
09 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
32
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
42
8
0
27 May 2024
Prompt Customization for Continual Learning
Prompt Customization for Continual Learning
Yong Dai
Xiaopeng Hong
Yabin Wang
Zhiheng Ma
D. Jiang
Yaowei Wang
40
0
0
28 Apr 2024
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State
  Space Model
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
Xu Han
Yuan Tang
Zhaoxuan Wang
Xianzhi Li
37
23
0
23 Apr 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
40
15
0
05 Mar 2024
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
Xin Zhou
Dingkang Liang
Wei Xu
Xingkui Zhu
Yihan Xu
Zhikang Zou
Xiang Bai
24
26
0
03 Mar 2024
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
Hang Guo
Jinmin Li
Tao Dai
Zhihao Ouyang
Xudong Ren
Shu-Tao Xia
Mamba
55
200
0
23 Feb 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
89
90
0
16 Feb 2024
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Yi Xin
Jianjiang Yang
Haodi Zhou
Junlong Du
Junlong Du
Yue Fan
Qing Li
Qing Li
Yuntao Du
VLM
70
75
0
03 Feb 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked
  Autoencoders
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha
Huizhen Ji
Jinmin Li
Rongsheng Li
Tao Dai
Bin Chen
Zhi Wang
Shu-Tao Xia
3DPC
27
23
0
17 Dec 2023
FreestyleRet: Retrieving Images from Style-Diversified Queries
FreestyleRet: Retrieving Images from Style-Diversified Queries
Hao Li
Curise Jia
Peng Jin
Ze-Long Cheng
Kehan Li
Jialu Sui
Chang Liu
Li-ming Yuan
3DH
20
5
0
05 Dec 2023
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
Jiawang Bai
Kuofeng Gao
Shaobo Min
Shu-Tao Xia
Zhifeng Li
Wei Liu
VLM
23
36
0
26 Nov 2023
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
Yiwen Tang
Ivan Tang
Ray Gu
Dong Wang
Eric Zhang
Bin Zhao
Xuelong Li
3DPC
24
19
0
04 Oct 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Rongsheng Li
Y. Li
Yinghui Li
Chaiyut Luoyiching
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
RALM
13
2
0
10 Sep 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
38
18
0
31 May 2023
Vision-Language Pre-training with Object Contrastive Learning for 3D
  Scene Understanding
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
Zhang Tao
Su He
D. Tao
Bin Chen
Zhi Wang
Shutao Xia
VLM
27
21
0
18 May 2023
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
178
244
0
28 May 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
169
435
0
04 Dec 2021
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
305
7,434
0
11 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
238
805
0
14 Oct 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
327
2,263
0
02 Sep 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
280
3,844
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
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
141
622
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
222
14,099
0
02 Dec 2016
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