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Image Classification 벤치마크

Image Classification on VTAB-1k

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Top-1 Accuracy

31 43.25 55.49 67.74 79.99 2019-10 2026-09 S4L-Exemplar-ResNet50-LargeHyperSweep — 72.7 (2019-10-01) S4L-Rotation-ResNet50-LargeHyperSweep — 71.5 (2019-10-01) ImageNet-ResNet50-LargeHyperSweep — 71.2 (2019-10-01) S4L-Rotation-ResNet50 — 67.5 (2019-10-01) S4L-Exemplar-ResNet50 — 67.0 (2019-10-01) ImageNet-ResNet50 — 65.6 (2019-10-01) S4L-10%-Rotation-ResNet50 — 64.8 (2019-10-01) S4L-10%-Exemplar-ResNet50 — 63.9 (2019-10-01) ImageNet-10%-ResNet50 — 61.6 (2019-10-01) SelfSup-Rotation-ResNet50 — 59.5 (2019-10-01) ResNet50-LargeHyperSweep — 59.2 (2019-10-01) BigBiGAN-ResNet50 — 59.1 (2019-10-01) SelfSup-Exemplar-ResNet50 — 57.5 (2019-10-01) SelfSup-Jigsaw-ResNet50 — 51.1 (2019-10-01) SelfSup-RelativePatchLoc-ResNet50 — 50.8 (2019-10-01) Unconditional-BigGAN-ResNet50 — 44.0 (2019-10-01) ResNet50 — 42.1 (2019-10-01) VAE — 37.5 (2019-10-01) WAE-MMD — 37.3 (2019-10-01) Conditional-BigGAN — 35.3 (2019-10-01) WAE-GAN — 32.0 (2019-10-01) WAE-UKL — 31.0 (2019-10-01) VIVI-Ex4-Co — 70.4 (2019-12-05) BiT-L (50 hypers/task) — 78.72 (2019-12-24) BiT-L — 76.3 (2019-12-24) BiT-M — 70.6 (2019-12-24) BiT-S — 66.9 (2019-12-24) ScalableExperts (I21k+JFT) — 72.3 (2020-09-28) ExpertEnsembles R101 — 77.6 (2020-10-14) ALIGN (50 hypers/task) — 79.99 (2021-02-11) ViT-G/14 — 78.29 (2021-06-08) UpperCaSE-EfficientNetB0 — 58.4 (2022-06-20) UpperCaSE-ResNet50 — 56.6 (2022-06-20) PVP(VIT-Base) — 78.02 (2023-04-26) S4L-Exemplar-ResNet50-LargeHyperSweep — 72.7 (2019-10-01) BiT-L (50 hypers/task) — 78.72 (2019-12-24) ALIGN (50 hypers/task) — 79.99 (2021-02-11)
RankModel Top-1 Accuracy Extra Training Data PaperCodeYear
1 ALIGN (50 hypers/task) 79.99 ✓ Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision facebookresearch/metaclip · kakaobrain/coyo-dataset · MicPie/clasp · +2 2021
2 BiT-L (50 hypers/task) 78.72 ✓ Big Transfer (BiT): General Visual Representation Learning google-research/big_transfer · sayakpaul/FunMatch-Distillation · bethgelab/InDomainGeneralizationBenchmark · +6 2019
3 ViT-G/14 78.29 ✓ Scaling Vision Transformers google-research/big_vision 2021
4 PVP(VIT-Base) 78.02 ✓ PVP: Pre-trained Visual Parameter-Efficient Tuning 2023
5 ExpertEnsembles R101 77.6 ✓ Deep Ensembles for Low-Data Transfer Learning 2020
6 BiT-L 76.3 ✓ Big Transfer (BiT): General Visual Representation Learning google-research/big_transfer · sayakpaul/FunMatch-Distillation · bethgelab/InDomainGeneralizationBenchmark · +6 2019
7 S4L-Exemplar-ResNet50-LargeHyperSweep 72.7 ✓ A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark facebookresearch/vissl · google-research/task_adaptation 2019
8 ScalableExperts (I21k+JFT) 72.3 ✓ Scalable Transfer Learning with Expert Models 2020
9 S4L-Rotation-ResNet50-LargeHyperSweep 71.5 ✓ A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark facebookresearch/vissl · google-research/task_adaptation 2019
10 ImageNet-ResNet50-LargeHyperSweep 71.2 ✓ A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark facebookresearch/vissl · google-research/task_adaptation 2019
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