3D Anomaly Detection and Segmentation

6 papers with code • 1 benchmarks • 1 datasets

3D-Only 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.

Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection

caoyunkang/CPMF 23 Mar 2023

The 3D and 2D modality features are aggregated to obtain the CPMF for PCD anomaly detection.

Multi-time-horizon Solar Forecasting Using Recurrent Neural Network

sakshi-mishra/solar-forecasting-RNN 14 Jul 2018

The results demonstrate that the proposed method based on the unified architecture is effective for multi-horizon solar forecasting and achieves a lower root-mean-squared prediction error compared to the previous best-performing methods which use one model for each time-horizon.

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.

Anomaly Detection Requires Better Representations

eliahuhorwitz/3D-ADS 19 Oct 2022

Anomaly detection seeks to identify unusual phenomena, a central task in science and industry.

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.