3D Anomaly Detection and Segmentation
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Benchmarks
MVTEC 3D-AD
DrivAerNet
Most implemented
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
Anomaly Detection Requires Better Representations
Papers
Modulate-and-Map: Crossmodal Feature Mapping with Cross-View Modulation for 3D Anomaly Detection
We present ModMap, a natively multiview and multimodal framework for 3D anomaly detection and segmentation. Unlike existing methods that process views independently, our method draws inspiration from the crossmodal featu…
3D Anomaly Detection and SegmentationSiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
We propose SiM3D, the first benchmark considering the integration of multiview and multimodal information for comprehensive 3D anomaly detection and segmentation (ADS), where the task is to produce a voxel-based Anomaly …
3D Anomaly Detection3D Anomaly Detection and SegmentationAnomaly DetectionExamining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
In this paper, we explore a novel approach to 3D anomaly detection (AD) that goes beyond merely identifying anomalies based on structural characteristics. Our primary perspective is that most anomalies arise from unpredi…
3D Anomaly Detection3D Anomaly Detection and SegmentationAnomaly DetectionPhysical IntuitionBoosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Point cloud anomaly detection is essential for various industrial applications. The huge computation and storage costs caused by the increasing product classes limit the application of single-class unsupervised methods, …
3D Anomaly Detection3D Anomaly Detection and SegmentationAnomaly Detection0-1 laws for pattern occurrences in phylogenetic trees and networks
In a recent paper, the question of determining the fraction of binary trees that contain a fixed pattern known as the snowflake was posed. We show that this fraction goes to 1, providing two very different proofs: a pure…
10-shot image generation3D Anomaly Detection and Segmentation3D Face Reconstruction+15Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Point cloud (PCD) anomaly detection steadily emerges as a promising research area. This study aims to improve PCD anomaly detection performance by combining handcrafted PCD descriptions with powerful pre-trained 2D neura…
3D Anomaly Detection and SegmentationAnomaly DetectionDepth Anomaly Detection and Segmentation