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Models/SimGCD (ViT-B-16)

SimGCD (ViT-B-16)

Reported on 12 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision12 results

Image ClassificationonImageNet-100 (TEMI Split)
All accuracy (50% Labeled)· 2022-11-21
83.6
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Image ClassificationonImageNet-100 (TEMI Split)
Novel accuracy (50% Labeled)· 2022-11-21
79.1
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Image ClassificationonImageNet-100 (TEMI Split)
Seen accuracy (50% Labeled)· 2022-11-21
92.4
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Image ClassificationonCIFAR-10
All accuracy (50% Labeled)· 2022-11-21
97
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Image ClassificationonCIFAR-10
Novel accuracy (50% Labeled)· 2022-11-21
98.5
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Semi-Supervised Image ClassificationonImageNet-100 (TEMI Split)
All accuracy (50% Labeled)· 2022-11-21
83.6
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Semi-Supervised Image ClassificationonImageNet-100 (TEMI Split)
Novel accuracy (50% Labeled)· 2022-11-21
79.1
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Semi-Supervised Image ClassificationonImageNet-100 (TEMI Split)
Seen accuracy (50% Labeled)· 2022-11-21
92.4
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Semi-Supervised Image ClassificationonCIFAR-10
All accuracy (50% Labeled)· 2022-11-21
97
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Semi-Supervised Image ClassificationonCIFAR-10
Novel accuracy (50% Labeled)· 2022-11-21
98.5
SOTA
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Image ClassificationonCIFAR-10
Seen accuracy (50% Labeled)· 2022-11-21
93.9
best: 97.9 (GCD (ViT-B-16))
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727
Semi-Supervised Image ClassificationonCIFAR-10
Seen accuracy (50% Labeled)· 2022-11-21
93.9
best: 97.9 (GCD (ViT-B-16))
Parametric Classification for Generalized Category Discovery: A Baseline Study arXiv:2211.11727