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Models/scGAN

scGAN

Reported on 18 benchmarks across 6 tasks

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

Methodology12 results

3DonISTD
Balanced Error Rate
8.98
best: 6.76 (CPD)
3DonUCF
Balanced Error Rate
11.5
best: 7.21 (CPD)
3DonSBU / SBU-Refine
Balanced Error Rate
9.1
best: 4.19 (CPD)
2D ClassificationonISTD
Balanced Error Rate
8.98
best: 6.76 (CPD)
2D ClassificationonUCF
Balanced Error Rate
11.5
best: 7.21 (CPD)
2D ClassificationonSBU / SBU-Refine
Balanced Error Rate
9.1
best: 4.19 (CPD)
2D Object DetectiononISTD
Balanced Error Rate
8.98
best: 6.76 (CPD)
2D Object DetectiononUCF
Balanced Error Rate
11.5
best: 7.21 (CPD)
2D Object DetectiononSBU / SBU-Refine
Balanced Error Rate
9.1
best: 4.19 (CPD)
16konISTD
Balanced Error Rate
8.98
best: 6.76 (CPD)
16konUCF
Balanced Error Rate
11.5
best: 7.21 (CPD)
16konSBU / SBU-Refine
Balanced Error Rate
9.1
best: 4.19 (CPD)

Computer Vision6 results

Object DetectiononISTD
Balanced Error Rate
8.98
best: 6.76 (CPD)
Object DetectiononUCF
Balanced Error Rate
11.5
best: 7.21 (CPD)
Object DetectiononSBU / SBU-Refine
Balanced Error Rate
9.1
best: 4.19 (CPD)
RGB Salient Object DetectiononISTD
Balanced Error Rate
8.98
best: 6.76 (CPD)
RGB Salient Object DetectiononUCF
Balanced Error Rate
11.5
best: 7.21 (CPD)
RGB Salient Object DetectiononSBU / SBU-Refine
Balanced Error Rate
9.1
best: 4.19 (CPD)