RGB+3D Anomaly Detection and Segmentation

5 papers with code • 1 benchmarks • 1 datasets

RGB+3D Anomaly Detection and Segmentation


Most implemented papers

The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

openvinotoolkit/anomalib 16 Dec 2021

We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.

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

eliahuhorwitz/3D-ADS 10 Mar 2022

We utilize a recently introduced 3D anomaly detection dataset to evaluate whether or not using 3D information is a lost opportunity.

Asymmetric Student-Teacher Networks for Industrial Anomaly Detection

marco-rudolph/ast 14 Oct 2022

We train a normalizing flow for density estimation as a teacher and a conventional feed-forward network as a student to trigger large distances for anomalies: The bijectivity of the normalizing flow enforces a divergence of teacher outputs for anomalies compared to normal data.

Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly Detection

jayliu0313/Shape-Guided ICML 2023

We present a shape-guided expert-learning framework to tackle the problem of unsupervised 3D anomaly detection.

Multimodal Industrial Anomaly Detection via Hybrid Fusion

nomewang/m3dm CVPR 2023

2D-based Industrial Anomaly Detection has been widely discussed, however, multimodal industrial anomaly detection based on 3D point clouds and RGB images still has many untouched fields.