paper-with-me

Semi-Supervised Image Classification 벤치마크

Semi-Supervised Image Classification on ImageNet - 0.2% labeled data

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ImageNet Top-1 Accuracy

40 47.4 54.8 62.2 69.6 2021-01 2026-09 FixMatch w/ EMAN (ResNet-50) — 43.6 (2021-01-21) FixMatch w/ EMAN (ResNet-50) — 43.6 (2021-01-21) CLIP (ResNet-50) — 40.0 (2021-02-26) CLIP (ResNet-50) — 40.0 (2021-02-26) DebiasPL (ResNet-50) — 69.6 (2022-01-05) DebiasPL (ResNet-50) — 69.6 (2022-01-05) FixMatch w/ EMAN (ResNet-50) — 43.6 (2021-01-21) DebiasPL (ResNet-50) — 69.6 (2022-01-05)
RankModel ImageNet Top-1 Accuracy Extra Training Data PaperCodeYear
1 DebiasPL (ResNet-50) 69.6% ✓ Debiased Learning from Naturally Imbalanced Pseudo-Labels frank-xwang/debiased-pseudo-labeling 2022
2 FixMatch w/ EMAN (ResNet-50) 43.6% Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning amazon-research/exponential-moving-average-normalization 2021
3 CLIP (ResNet-50) 40% ✓ Learning Transferable Visual Models From Natural Language Supervision openai/CLIP · mlfoundations/open_clip · towhee-io/towhee · +79 2021
4 DebiasPL (ResNet-50) 69.6% ✓ Debiased Learning from Naturally Imbalanced Pseudo-Labels frank-xwang/debiased-pseudo-labeling 2022
5 FixMatch w/ EMAN (ResNet-50) 43.6% Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning amazon-research/exponential-moving-average-normalization 2021
6 CLIP (ResNet-50) 40% ✓ Learning Transferable Visual Models From Natural Language Supervision openai/CLIP · mlfoundations/open_clip · towhee-io/towhee · +79 2021
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