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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
한국어
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  1. 홈
  2. SOTA
  3. 이상치 탐지
  4. Anomaly Detection On Leave One Class Out 1

Anomaly Detection On Leave One Class Out 1

평가 지표

AUROC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
AUROC
Paper TitleRepository
CLIP (zero shot)97.8Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images-
Binary Cross Entropy (OE)88.2Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images-
BCE-CLIP (OE)99.3Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images-
DSAD88.8Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images-
DSVDD49.7Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images-
HSC (OE)88.3Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images-
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한국어

소개

회사 소개데이터셋 도움말

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뉴스튜토리얼데이터셋백과사전

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