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Models/BATS (ResNet-50)

BATS (ResNet-50)

Reported on 7 benchmarks across 1 task · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision7 results

Out-of-Distribution DetectiononImageNet-1k vs Places
AUROC· 2022-10-09
91.83
best: 93.11 (CMA(ViT-B/16, NegLabel))
SOTA
Boosting Out-of-distribution Detection with Typical Features arXiv:2210.04200
Out-of-Distribution DetectiononImageNet-1k vs iNaturalist
AUROC· 2022-10-09
97.67
best: 99.62 (CMA(ViT-B/16, NegLabel))
Boosting Out-of-distribution Detection with Typical Features arXiv:2210.04200
Out-of-Distribution DetectiononImageNet-1k vs Textures
AUROC· 2022-10-09
92.27
best: 98.92 (ViM (BiT))
Boosting Out-of-distribution Detection with Typical Features arXiv:2210.04200
Out-of-Distribution DetectiononImageNet-1k vs Textures
FPR95· 2022-10-09
38.9
best: 79.8 (RP+GradNorm)
Boosting Out-of-distribution Detection with Typical Features arXiv:2210.04200
Out-of-Distribution DetectiononImageNet-1k vs Places
FPR95· 2022-10-09
34.34
best: 83.29 (RP+GradNorm)
Boosting Out-of-distribution Detection with Typical Features arXiv:2210.04200
Out-of-Distribution DetectiononImageNet-1k vs Curated OODs (avg.)
AUROC· 2022-10-09
94.28
best: 95.71 (SCALE (ResNet50))
Boosting Out-of-distribution Detection with Typical Features arXiv:2210.04200
Out-of-Distribution DetectiononImageNet-1k vs Curated OODs (avg.)
FPR95· 2022-10-09
27.11
best: 70.12 (RP+GradNorm)
Boosting Out-of-distribution Detection with Typical Features arXiv:2210.04200