← Anomaly Detection

Papers with Code · CC BY-SA 4.0

Unlabeled CIFAR-10 vs CIFAR-100

아카이브 평가 13건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
PsudoLabels ViT	AUROC 96.7 Network ViT	Out-of-Distribution Detection Without Class Labels 2021-12-14	연결 없음
PsudoLabels ResNet-152	AUROC 93.3 Network ResNet-152	Out-of-Distribution Detection Without Class Labels 2021-12-14	연결 없음
PsudoLabels ResNet-18	AUROC 90.8 Network ResNet-18	Out-of-Distribution Detection Without Class Labels 2021-12-14	연결 없음
SCAN Features	AUROC 90.2 Network ResNet-18	Out-of-Distribution Detection Without Class Labels 2021-12-14	연결 없음
MeanShifted	AUROC 90.0 Network ResNet-152	Mean-Shifted Contrastive Loss for Anomaly Detection 2021-06-07	코드 1 · 코드 2
SSD	AUROC 89.6 Network ResNet-18	SSD: A Unified Framework for Self-Supervised Outlier Detection 2021-03-22	코드 1 · 코드 2 · 코드 3
CSI	AUROC 89.3 Network ResNet-18	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances 2020-07-16	코드 1
GOAD	AUROC 89.2 Network ResNet-18	Classification-Based Anomaly Detection for General Data 2020-05-05	코드 1 · 코드 2
MTL	AUROC 82.92	Shifting Transformation Learning for Out-of-Distribution Detection 2021-06-07	연결 없음
Input Complexity (Glow)	AUROC 73.6	Input complexity and out-of-distribution detection with likelihood-based generative models 2019-09-25	코드 1
Likelihood (Glow)	AUROC 58.2	Input complexity and out-of-distribution detection with likelihood-based generative models 2019-09-25	코드 1
Input Complexity (PixelCNN++)	AUROC 53.5	Input complexity and out-of-distribution detection with likelihood-based generative models 2019-09-25	코드 1
Likelihood (PixelCNN++)	AUROC 52.6	Input complexity and out-of-distribution detection with likelihood-based generative models 2019-09-25	코드 1