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Models/SPADE

SPADE

Reported on 44 benchmarks across 7 tasks · 2 papers · 33 SOTA

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

Methodology13 results

Anomaly DetectiononMVTec AD
Detection AUROC· 2020-05-05
85.5
best: 99.9 (GLASS)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononMVTec AD
FPS· 2020-05-05
1.5
best: 1016 (CPR-faster(TensorRT))
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononMVTec AD
Segmentation AUROC· 2020-05-05
96.5
best: 99.7 (WeakREST-Block)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononVisA
Segmentation AUPRO (until 30% FPR)· 2020-05-05
65.9
best: 96.1 (AnomalyDINO-S (full-shot))
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only logical)· 2020-05-05
70.9
best: 98.1 (PSAD)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononMVTec LOCO AD
Segmentation AU-sPRO (until FPR 5%)· 2020-05-05
45.1
best: 83.2 (SAM-LAD)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononGoodsAD
AUPR· 2020-05-05
68.7
best: 86.1 (PatchCore-100%)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononGoodsAD
AUROC· 2020-05-05
64.1
best: 86.1 (MiniMaxAD-fr)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
2D ClassificationonGoodsAD
AUPR· 2020-05-05
68.7
best: 86.1 (PatchCore-100%)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
2D ClassificationonGoodsAD
AUROC· 2020-05-05
64.1
best: 86.1 (MiniMaxAD-fr)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononVisA
Detection AUROC· 2020-05-05
82.1
best: 99.8 (UniNet)
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononMVTec LOCO AD
Avg. Detection AUROC· 2020-05-05
68.9
best: 95.3 (CSAD)
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only structural)· 2020-05-05
66.8
best: 95.9 (PUAD-M)
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357

Computer Vision13 results

Anomaly ClassificationonGoodsAD
AUPR· 2020-05-05
68.7
best: 86.1 (PatchCore-100%)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Anomaly ClassificationonGoodsAD
AUROC· 2020-05-05
64.1
best: 86.1 (MiniMaxAD-fr)
SOTA
Sub-Image Anomaly Detection with Deep Pyramid Correspondences arXiv:2005.02357
Image-to-Image TranslationonCOCO-Stuff Labels-to-Photos
FID· 2019-03-18
22.6
best: 13.3 (DP-SIMS (ConvNext-XL))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonCOCO-Stuff Labels-to-Photos
mIoU· 2019-03-18
37.4
best: 44.1 (OASIS)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonCityscapes Labels-to-Photo
mIoU· 2019-03-18
62.3
best: 76.3 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonADE20K Labels-to-Photos
FID· 2019-03-18
33.9
best: 22.7 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonADE20K Labels-to-Photos
mIoU· 2019-03-18
38.5
best: 54.3 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonADE20K-Outdoor Labels-to-Photos
FID· 2019-03-18
63.3
best: 42.4 (CoCosNet)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonADE20K-Outdoor Labels-to-Photos
mIoU· 2019-03-18
30.8
best: 40.4 (DP-GAN)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonCityscapes Labels-to-Photo
FID· 2019-03-18
71.8
best: 38.2 (DP-SIMS (ConvNext-L))
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Sketch-to-Image TranslationonCOCO-Stuff
FID· 2019-03-18
89.2
best: 18.5 (PITI)
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Sketch-to-Image TranslationonCOCO-Stuff
FID-C· 2019-03-18
48.9
best: 7.6 (PITI)
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image-to-Image TranslationonADE20K Labels-to-Photos
LPIPS
0

Medical9 results

Image GenerationonCOCO-Stuff Labels-to-Photos
FID· 2019-03-18
22.6
best: 13.3 (DP-SIMS (ConvNext-XL))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonCOCO-Stuff Labels-to-Photos
mIoU· 2019-03-18
37.4
best: 44.1 (OASIS)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonCityscapes Labels-to-Photo
mIoU· 2019-03-18
62.3
best: 76.3 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonADE20K Labels-to-Photos
FID· 2019-03-18
33.9
best: 22.7 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonADE20K Labels-to-Photos
mIoU· 2019-03-18
38.5
best: 54.3 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonADE20K-Outdoor Labels-to-Photos
FID· 2019-03-18
63.3
best: 42.4 (CoCosNet)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonADE20K-Outdoor Labels-to-Photos
mIoU· 2019-03-18
30.8
best: 40.4 (DP-GAN)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonCityscapes Labels-to-Photo
FID· 2019-03-18
71.8
best: 38.2 (DP-SIMS (ConvNext-L))
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
Image GenerationonADE20K Labels-to-Photos
LPIPS
0

Miscellaneous9 results

1 Image, 2*2 StitchingonCOCO-Stuff Labels-to-Photos
FID· 2019-03-18
22.6
best: 13.3 (DP-SIMS (ConvNext-XL))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonCOCO-Stuff Labels-to-Photos
mIoU· 2019-03-18
37.4
best: 44.1 (OASIS)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonCityscapes Labels-to-Photo
mIoU· 2019-03-18
62.3
best: 76.3 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonADE20K Labels-to-Photos
FID· 2019-03-18
33.9
best: 22.7 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonADE20K Labels-to-Photos
mIoU· 2019-03-18
38.5
best: 54.3 (DP-SIMS (ConvNext-L))
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonADE20K-Outdoor Labels-to-Photos
FID· 2019-03-18
63.3
best: 42.4 (CoCosNet)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonADE20K-Outdoor Labels-to-Photos
mIoU· 2019-03-18
30.8
best: 40.4 (DP-GAN)
SOTA
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonCityscapes Labels-to-Photo
FID· 2019-03-18
71.8
best: 38.2 (DP-SIMS (ConvNext-L))
Semantic Image Synthesis with Spatially-Adaptive Normalization arXiv:1903.07291
1 Image, 2*2 StitchingonADE20K Labels-to-Photos
LPIPS
0