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Back to the Feature: Classical 3D Features are (Almost) All You Need for
  3D Anomaly Detection

Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection

10 March 2022
Eliahu Horwitz
Yedid Hoshen
ArXivPDFHTML

Papers citing "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection"

11 / 11 papers shown
Title
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Yuqi Cheng
Yunkang Cao
Dongfang Wang
Nong Sang
Wenlong Li
34
1
0
12 May 2025
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Hanzhe Liang
Aoran Wang
Jie Zhou
Xin Jin
C. Gao
Jinbao Wang
26
0
0
09 May 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
Jiayi Cheng
C. Gao
Jie Zhou
J. Wen
Tao Dai
Jiadong Wang
39
0
0
04 May 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Wenbing Zhu
Lidong Wang
Ziqing Zhou
Chengjie Wang
Yurui Pan
...
Yulong Chen
Shuguang Qian
M. Chi
Bo Peng
Lizhuang Ma
26
1
0
19 Apr 2025
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Jiaxiang Wang
Haote Xu
Xiaolu Chen
Haodi Xu
Yue Huang
Xinghao Ding
Xiaotong Tu
48
0
0
16 Feb 2025
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
Hanzhe Liang
Guoyang Xie
Chengbin Hou
Bingshu Wang
Can Gao
Jinbao Wang
3DPC
93
4
0
18 Dec 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
19
10
0
07 Dec 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Qiang Zhou
Weize Li
Lihan Jiang
Guoliang Wang
Guyue Zhou
Shanghang Zhang
Hao Zhao
32
30
0
11 Oct 2023
Component-aware anomaly detection framework for adjustable and logical
  industrial visual inspection
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Tongkun Liu
Bing Li
Xiao Du
Bingke Jiang
Xiao Jin
Liuyi Jin
Zhu Zhao
32
27
0
15 May 2023
Reconstruction from edge image combined with color and gradient
  difference for industrial surface anomaly detection
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
Tongkun Liu
Bing Li
Zhu Zhao
Xiaoyu Du
Bin Jiang
Leqi Geng
28
35
0
26 Oct 2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Haote Xu
Yunlong Zhang
Liyan Sun
Chenxin Li
Yue Huang
Xinghao Ding
MedIm
33
11
0
17 Apr 2022
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