HyperAIHyperAI超神経
ホームニュース論文チュートリアルデータセット百科事典SOTALLMモデルGPU ランキング学会
検索
サイトについて
HyperAIHyperAI超神経

Anomaly Detection On Leave One Class Out 1

評価指標

AUROC

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
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
0 of 6 row(s) selected.
Anomaly Detection On Leave One Class Out 1 | SOTA | HyperAI超神経