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PASS

Reported on 25 benchmarks across 4 tasks · 2 papers · 12 SOTA

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

Medical13 results

Semantic SegmentationonImageNet-S-300
mIoU (test)· 2021-06-06
18.1
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Semantic SegmentationonImageNet-S-300
mIoU (val)· 2021-06-06
18
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Disease PredictiononUK CF trust
AUC (ABPA)· 2018-10-24
0.687
SOTA
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning arXiv:1810.10489
Disease PredictiononUK CF trust
AUC (Diabetes)· 2018-10-24
0.771
SOTA
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning arXiv:1810.10489
Disease PredictiononUK CF trust
AUC (E. Coli)· 2018-10-24
0.701
SOTA
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning arXiv:1810.10489
Disease PredictiononUK CF trust
AUC (K. Pneumonia)· 2018-10-24
0.718
SOTA
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning arXiv:1810.10489
Semantic SegmentationonImageNet-S
mIoU (test)· 2021-06-06
11
best: 63.3 (SERE (ViT-B/16, 100ep, 224x224, SSL+FT))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Semantic SegmentationonImageNet-S
mIoU (val)· 2021-06-06
11.5
best: 63.2 (TEC (ViT-B/16, 224x224, SSL+FT, mmseg))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Semantic SegmentationonImageNet-S-50
mIoU (test)· 2021-06-06
32
best: 42.3 (PASS (+Saliency map))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Semantic SegmentationonImageNet-S-50
mIoU (val)· 2021-06-06
32.4
best: 43.3 (PASS (+Saliency map))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Disease PredictiononUK CF trust
AUC (Aspergillus)· 2018-10-24
0.64
best: 0.641 (RETAIN)
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning arXiv:1810.10489
Disease PredictiononUK CF trust
AUC (I. Obstruction)· 2018-10-24
0.577
best: 0.578 (RETAIN)
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning arXiv:1810.10489
Disease PredictiononUK CF trust
I. Obstruction· 2018-10-24
0.577
best: 0.578 (RETAIN)
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning arXiv:1810.10489

Computer Vision6 results

Unsupervised Semantic SegmentationonImageNet-S
mIoU (test)· 2021-06-06
11
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Unsupervised Semantic SegmentationonImageNet-S
mIoU (val)· 2021-06-06
11.5
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Unsupervised Semantic SegmentationonImageNet-S-300
mIoU (test)· 2021-06-06
18.1
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Unsupervised Semantic SegmentationonImageNet-S-300
mIoU (val)· 2021-06-06
18
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Unsupervised Semantic SegmentationonImageNet-S-50
mIoU (test)· 2021-06-06
32
best: 42.3 (PASS (+Saliency map))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
Unsupervised Semantic SegmentationonImageNet-S-50
mIoU (val)· 2021-06-06
32.4
best: 43.3 (PASS (+Saliency map))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149

Audio6 results

10-shot image generationonImageNet-S-300
mIoU (test)· 2021-06-06
18.1
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
10-shot image generationonImageNet-S-300
mIoU (val)· 2021-06-06
18
SOTA
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
10-shot image generationonImageNet-S
mIoU (test)· 2021-06-06
11
best: 63.3 (SERE (ViT-B/16, 100ep, 224x224, SSL+FT))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
10-shot image generationonImageNet-S
mIoU (val)· 2021-06-06
11.5
best: 63.2 (TEC (ViT-B/16, 224x224, SSL+FT, mmseg))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
10-shot image generationonImageNet-S-50
mIoU (test)· 2021-06-06
32
best: 42.3 (PASS (+Saliency map))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149
10-shot image generationonImageNet-S-50
mIoU (val)· 2021-06-06
32.4
best: 43.3 (PASS (+Saliency map))
Large-scale Unsupervised Semantic Segmentation arXiv:2106.03149