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Revisiting Point Cloud Shape Classification with a Simple and Effective
  Baseline

Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline

9 June 2021
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
    3DPC
ArXivPDFHTML

Papers citing "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

50 / 125 papers shown
Title
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling
  for Point Cloud Classification
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Abihith Kothapalli
Ashkan Shahbazi
Xinran Liu
Robert Sheng
Soheil Kolouri
3DPC
19
2
0
08 Jun 2023
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Haibo Qiu
Baosheng Yu
Dacheng Tao
3DPC
ViT
32
6
0
02 Jun 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and
  normalization matters
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Isaac Corley
Caleb Robinson
Rahul Dodhia
J. L. Ferres
Peyman Najafirad
51
14
0
22 May 2023
Persistent Homology Meets Object Unity: Object Recognition in Clutter
Persistent Homology Meets Object Unity: Object Recognition in Clutter
Ekta U. Samani
A. Banerjee
43
5
0
05 May 2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification
  and Segmentation
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Zihao Li
Pan Gao
Hui Yuan
Ran Wei
M. Paul
3DPC
ViT
32
6
0
27 Apr 2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost
  3D Point Cloud Data-scarce Learning?
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Hao Peng
Baopu Li
Bo-Wen Zhang
Xin Chen
Tao Chen
Erik Cambria
3DPC
29
1
0
20 Apr 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
VLM
53
45
0
14 Apr 2023
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with
  GPT and Prototype Guidance
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance
Zoey Guo
Yiwen Tang
Renrui Zhang
Dong Wang
Zhigang Wang
Bin Zhao
Xuelong Li
35
54
0
29 Mar 2023
Self-positioning Point-based Transformer for Point Cloud Understanding
Self-positioning Point-based Transformer for Point Cloud Understanding
Jinyoung Park
S. Lee
S. Kim
Yunyang Xiong
Hyunwoo J. Kim
ViT
3DPC
35
57
0
29 Mar 2023
EPiC: Ensemble of Partial Point Clouds for Robust Classification
EPiC: Ensemble of Partial Point Clouds for Robust Classification
Meir Yossef Levi
Guy Gilboa
3DPC
23
10
0
20 Mar 2023
Parameter is Not All You Need: Starting from Non-Parametric Networks for
  3D Point Cloud Analysis
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Yali Wang
Peng Gao
Hongsheng Li
Jianbo Shi
3DPC
32
52
0
14 Mar 2023
PointPatchMix: Point Cloud Mixing with Patch Scoring
PointPatchMix: Point Cloud Mixing with Patch Scoring
Yi Wang
Jiaze Wang
Jinpeng Li
Zixu Zhao
Guangyong Chen
Anfeng Liu
Pheng-Ann Heng
3DPC
29
7
0
12 Mar 2023
3DInAction: Understanding Human Actions in 3D Point Clouds
3DInAction: Understanding Human Actions in 3D Point Clouds
Yizhak Ben-Shabat
Oren Shrout
Stephen Gould
3DPC
30
4
0
11 Mar 2023
Point Cloud Classification Using Content-based Transformer via
  Clustering in Feature Space
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space
Yahui Liu
Bin Wang
Yisheng Lv
Lingxi Li
Feiyue Wang
ViT
3DPC
25
43
0
08 Mar 2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Jianbo Shi
3DPC
32
10
0
01 Mar 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud
  Pre-training
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
Pheng-Ann Heng
3DPC
40
52
0
27 Feb 2023
A Large Scale Homography Benchmark
A Large Scale Homography Benchmark
Dániel Baráth
Dmytro Mishkin
Michal Polic
W. Förstner
Juan E. Sala Matas
34
9
0
20 Feb 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen
Jia-Li Long
B. Yu
Dacheng Tao
3DPC
43
7
0
10 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
38
118
0
05 Feb 2023
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic
  Perception, Reconstruction and Generation
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Tong Wu
Jiarui Zhang
Xiao Fu
Yuxin Wang
Jiawei Ren
...
Lei Yang
Jiaqi Wang
Chao Qian
Dahua Lin
Ziwei Liu
36
214
0
18 Jan 2023
MVTN: Learning Multi-View Transformations for 3D Understanding
MVTN: Learning Multi-View Transformations for 3D Understanding
Abdullah Hamdi
Faisal AlZahrani
Silvio Giancola
Guohao Li
3DPC
3DV
34
6
0
27 Dec 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT
3DPC
29
84
0
16 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via
  Image-to-Point Masked Autoencoders
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
3DPC
41
125
0
13 Dec 2022
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
Tunhou Zhang
Mingyuan Ma
Feng Yan
H. Li
Yiran Chen
3DPC
33
2
0
28 Nov 2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
Pavlo Melnyk
Andreas Robinson
M. Felsberg
Maarten Wadenback
3DPC
23
2
0
26 Nov 2022
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Xiangyang Zhu
Renrui Zhang
Bowei He
Ziyu Guo
Ziyao Zeng
Zipeng Qin
Shanghang Zhang
Peng Gao
VLM
30
136
0
21 Nov 2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
MATE: Masked Autoencoders are Online 3D Test-Time Learners
M. Jehanzeb Mirza
Inkyu Shin
Wei Lin
Andreas Schriebl
Kunyang Sun
...
Horst Possegger
Mateusz Koziñski
In So Kweon
Kun-Jin Yoon
Horst Bischof
TTA
3DPC
41
15
0
21 Nov 2022
LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
Chuanfu Shen
Chao Fan
Wei Wu
Rui Wang
George Q. Huang
Shiqi Yu
CVBM
23
43
0
19 Nov 2022
Isometric 3D Adversarial Examples in the Physical World
Isometric 3D Adversarial Examples in the Physical World
Yibo Miao
Yinpeng Dong
Junyi Zhu
Xiao-Shan Gao
45
29
0
27 Oct 2022
Let Images Give You More:Point Cloud Cross-Modal Training for Shape
  Analysis
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis
Xu Yan
Heshen Zhan
Chaoda Zheng
Jiantao Gao
Ruimao Zhang
Shuguang Cui
Zhen Li
3DPC
57
33
0
09 Oct 2022
A ResNet is All You Need? Modeling A Strong Baseline for Detecting
  Referable Diabetic Retinopathy in Fundus Images
A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images
Tomás Castilla
Marcela S. Martínez
Mercedes Leguía
Ignacio Larrabide
J. Orlando
MedIm
23
2
0
06 Oct 2022
Point Cloud Recognition with Position-to-Structure Attention
  Transformers
Point Cloud Recognition with Position-to-Structure Attention Transformers
Zhenghu Ding
James Hou
Zhuowen Tu
ViT
3DPC
38
1
0
05 Oct 2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth
  Pre-training
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
Tianyu Huang
Bowen Dong
Yunhan Yang
Xiaoshui Huang
Rynson W. H. Lau
Wanli Ouyang
W. Zuo
VLM
3DPC
CLIP
42
144
0
03 Oct 2022
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud
  Classification and Segmentation
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation
Dening Lu
K. Gao
Qian Xie
Linlin Xu
Jonathan Li
3DPC
ViT
35
4
0
21 Sep 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
49
31
0
21 Sep 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud
  Recognition
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Hang Zhou
Weiming Zhang
Kui Zhang
Gang Hua
Nenghai Yu
3DPC
32
12
0
16 Sep 2022
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud
  Understanding
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding
Guocheng Qian
Abdullah Hamdi
Xingdi Zhang
Guohao Li
3DPC
ViT
27
4
0
25 Aug 2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D
  Segmentation
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
Gopal Sharma
K. Yin
Subhransu Maji
E. Kalogerakis
Litany
Sanja Fidler
3DV
3DPC
26
12
0
18 Aug 2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Chenhang He
Yuxiao Chen
Kui Jia
Lei Zhang
3DPC
21
20
0
07 Jul 2022
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling
  Convolution
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution
H. Xiu
Xin Liu
Weimin Wang
Kyoung-Sook Kim
T. Shinohara
Qiong Chang
M. Matsuoka
3DPC
27
0
0
04 Jul 2022
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud
  Understanding
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding
H. Xiu
Xin Liu
Weimin Wang
Kyoung-Sook Kim
T. Shinohara
Qiong Chang
M. Matsuoka
DiffM
3DPC
22
0
0
04 Jul 2022
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets
  and Challenges
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges
Chuanfu Shen
Shiqi Yu
Jilong Wang
George Q. Huang
Liang Wang
CVBM
47
53
0
28 Jun 2022
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Lily H. Zhang
Veronica Tozzo
J. Higgins
Rajesh Ranganath
BDL
MoE
19
16
0
23 Jun 2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling
  Strategies
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Guocheng Qian
Yuchen Li
Houwen Peng
Jinjie Mai
Hasan Hammoud
Mohamed Elhoseiny
Guohao Li
3DPC
42
602
0
09 Jun 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
38
38
0
09 Jun 2022
PointVector: A Vector Representation In Point Cloud Analysis
PointVector: A Vector Representation In Point Cloud Analysis
Xin Deng
Wenyu Zhang
Qing Ding
Xinming Zhang
3DPC
49
28
0
21 May 2022
Advanced Feature Learning on Point Clouds using Multi-resolution
  Features and Learnable Pooling
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
Kevin Tirta Wijaya
Dong-Hee Paek
Seung-Hyun Kong
3DPC
29
21
0
20 May 2022
Topologically Persistent Features-based Object Recognition in Cluttered
  Indoor Environments
Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments
Ekta U. Samani
A. Banerjee
3DPC
29
0
0
16 May 2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient
  Point Cloud Classification
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
Tao Lu
Chunxu Liu
You-ren Chen
Gangshan Wu
Limin Wang
3DPC
36
6
0
02 May 2022
Points to Patches: Enabling the Use of Self-Attention for 3D Shape
  Recognition
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
Axel Berg
Magnus Oskarsson
Mark O'Connor
3DPC
ViT
29
26
0
08 Apr 2022
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