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Models/ORCA (ResNet-18)

ORCA (ResNet-18)

Reported on 24 benchmarks across 2 tasks · 1 paper · 24 SOTA

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

Computer Vision24 results

Image ClassificationonCIFAR-100
All accuracy (10% Labeled)· 2021-02-06
38.6
best: 60.3 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-100
All accuracy (50% Labeled)· 2021-02-06
48.1
best: 60.1 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-100
Novel accuracy (10% Labeled)· 2021-02-06
31.8
best: 52.1 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-100
Novel accuracy (50% Labeled)· 2021-02-06
43
best: 46.8 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-100
Seen accuracy (10% Labeled)· 2021-02-06
52.5
best: 68.5 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-100
Seen accuracy (50% Labeled)· 2021-02-06
66.9
best: 73.5 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-10
All accuracy (10% Labeled)· 2021-02-06
84.1
best: 92.8 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-10
All accuracy (50% Labeled)· 2021-02-06
89.7
best: 97 (SimGCD (ViT-B-16))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-10
Novel accuracy (10% Labeled)· 2021-02-06
85.5
best: 93.2 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-10
Novel accuracy (50% Labeled)· 2021-02-06
90.4
best: 98.5 (SimGCD (ViT-B-16))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-10
Seen accuracy (10% Labeled)· 2021-02-06
82.8
best: 94.9 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Image ClassificationonCIFAR-10
Seen accuracy (50% Labeled)· 2021-02-06
88.2
best: 97.9 (GCD (ViT-B-16))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-100
All accuracy (10% Labeled)· 2021-02-06
38.6
best: 60.3 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-100
All accuracy (50% Labeled)· 2021-02-06
48.1
best: 60.1 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-100
Novel accuracy (10% Labeled)· 2021-02-06
31.8
best: 52.1 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-100
Novel accuracy (50% Labeled)· 2021-02-06
43
best: 46.8 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-100
Seen accuracy (10% Labeled)· 2021-02-06
52.5
best: 68.5 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-100
Seen accuracy (50% Labeled)· 2021-02-06
66.9
best: 73.5 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-10
All accuracy (10% Labeled)· 2021-02-06
84.1
best: 92.8 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-10
All accuracy (50% Labeled)· 2021-02-06
89.7
best: 97 (SimGCD (ViT-B-16))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-10
Novel accuracy (10% Labeled)· 2021-02-06
85.5
best: 93.2 (OpenLDN (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-10
Novel accuracy (50% Labeled)· 2021-02-06
90.4
best: 98.5 (SimGCD (ViT-B-16))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-10
Seen accuracy (10% Labeled)· 2021-02-06
82.8
best: 94.9 (TRSSL (ResNet-18))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526
Semi-Supervised Image ClassificationonCIFAR-10
Seen accuracy (50% Labeled)· 2021-02-06
88.2
best: 97.9 (GCD (ViT-B-16))
SOTA
Open-World Semi-Supervised Learning arXiv:2102.03526