HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Anomaly Detection On Mpdd

평가 지표

Detection AUROC

Segmentation AUROC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Detection AUROC	Segmentation AUROC	Paper Title	Repository
GLAD	97.5	98.7	GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection	-
LeMO	87.4	97.8	Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision	-
AdaCLIP	82.5	96.1	AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection	-
ADSPR	-	96.8	Anomaly Detection using Score-based Perturbation Resilience
PatchCore	82.12	95.66	Towards Total Recall in Industrial Anomaly Detection	-
ULSAD	95.73	97.45	Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection	-
DMDD	98.10	98.96	Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection	-
FastRecon	82.5	97.9	FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction	-
DiffusionAD	96.2	98.5	DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection	-
POUTA	97.5	-	Produce Once, Utilize Twice for Anomaly Detection	-
GLASS	99.6	99.4	A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization	-
Dinomaly	97.2	99.1	Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection	-
KAnoCLIP	77.8	98.3	KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration	-
RealNet	96.3	98.2	RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection	-
PBAS	97.7	98.8	Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection	-

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