← Anomaly Detection
Papers with Code · CC BY-SA 4.0

One-class CIFAR-100

아카이브 평가 15건 · 마지막 적재/변경

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.

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원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
GeneralAD
AUROC
98.4
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
2024-07-17
코드 1
Transformaly
AUROC
97.7
Transformaly -- Two (Feature Spaces) Are Better Than One
2021-12-08
코드 1
PANDA-OE
AUROC
97.3
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
2020-10-12
코드 1
Mean-Shifted Contrastive Loss
AUROC
96.5
Mean-Shifted Contrastive Loss for Anomaly Detection
2021-06-07
코드 1 · 코드 2
PANDA
AUROC
94.1
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
2020-10-12
코드 1
CSI
AUROC
89.6
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
2020-07-16
코드 1
GAN based Anomaly Detection in Imbalance Problems
AUROC
87.4
GAN-based Anomaly Detection in Imbalance Problems
2020-08-28
연결 없음
DisAug CLR
AUROC
86.5
Learning and Evaluating Representations for Deep One-class Classification
2020-11-04
코드 1
DUIAD
AUROC
86
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
2020-12-09
연결 없음
Rotation Prediction
AUROC
84.1
Learning and Evaluating Representations for Deep One-class Classification
2020-11-04
코드 1
MTL
AUROC
83.95
Shifting Transformation Learning for Out-of-Distribution Detection
2021-06-07
연결 없음
Self-Supervised Multi-Head RotNet
AUROC
80.1
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
2020-10-12
코드 1
Geom
AUROC
78.7
Deep Anomaly Detection Using Geometric Transformations
2018-05-28
코드 1 · 코드 2 · 코드 3
Self-Supervised DeepSVDD
AUROC
67
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
2020-10-12
코드 1
Self-Supervised One-class SVM, RBF kernel
AUROC
62.6
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
2020-10-12
코드 1