HyperAI超神经

首页算力平台文档资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Depth Anomaly Detection And Segmentation On

评估指标

Detection AUROC

Segmentation AUPRO

Segmentation AUROC

评测结果

各个模型在此基准测试上的表现结果

				Paper Title	Repository
TransFusion	0.957	0.947	-	TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
CPMF (2D+3D)	0.9515	0.9293	0.9781	Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
3DSR (3D)	0.922	0.907	-	Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
CPMF (2D)	0.8918	0.9145	0.9730	Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
CPMF (3D)	0.8304	0.9230	0.9780	Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (SIFT)	0.727	0.910	0.974	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 (NSA)	0.696	0.5572	0.817	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 (Depth iNet)	0.675	0.755	0.930	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 (RaW)	0.573	0.442	0.771	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 (HoG)	0.559	0.771	0.930	Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Depth VM	0.546	0.374	-	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
Depth AE	0.546	0.203	-	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
Depth GAN	0.523	0.143	-	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

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