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Semi-Supervised Image Classification 벤치마크

Semi-Supervised Image Classification on CIFAR-100, 2500 Labels

32개 결과 · ⬇ CSV · JSON

Percentage error 낮을수록 좋음

16.62 19.62 22.63 25.64 28.64 2019-11 2026-11 ReMixMatch — 27.43 (2019-11-21) ReMixMatch — 27.43 (2019-11-21) FixMatch (CTA, WRN-28-8) — 28.64 (2020-01-21) FixMatch (CTA, WRN-28-8) — 28.64 (2020-01-21) LiDAM — 26.5 (2020-10-13) LiDAM — 26.5 (2020-10-13) Dash (RA, WRN-28-8) — 27.18 (2021-09-01) Dash (RA, WRN-28-8) — 27.18 (2021-09-01) FlexMatch — 26.49 (2021-10-15) FlexMatch — 26.49 (2021-10-15) FixMatch+CR — 27.58 (2022-01-17) FixMatch+CR — 27.58 (2022-01-17) CCSSL(FixMatch) — 24.3 (2022-03-04) CCSSL(FixMatch) — 24.3 (2022-03-04) SimMatch — 25.07 (2022-03-14) SimMatch — 25.07 (2022-03-14) DoubleMatch — 27.07 (2022-05-11) DoubleMatch — 27.07 (2022-05-11) FreeMatch — 26.47 (2022-05-15) FreeMatch — 26.47 (2022-05-15) NP-Match — 26.03 (2022-07-03) NP-Match — 26.03 (2022-07-03) ShrinkMatch — 25.17 (2023-08-13) ShrinkMatch — 25.17 (2023-08-13) Semi-SST (ViT-Small) — 16.62 (2025-05-31) Super-SST (ViT-Small) — 18.51 (2025-05-31) Semi-SST (ViT-Small) — 16.62 (2025-05-31) Super-SST (ViT-Small) — 18.51 (2025-05-31) SemiOccam — 22.19 (2025-06-04) SemiOccam — 22.19 (2025-06-04) ReMixMatch — 27.43 (2019-11-21) LiDAM — 26.5 (2020-10-13) FlexMatch — 26.49 (2021-10-15) CCSSL(FixMatch) — 24.3 (2022-03-04) Semi-SST (ViT-Small) — 16.62 (2025-05-31)
RankModel Percentage error PaperCodeYear
1 Semi-SST (ViT-Small) 16.62±0.28 SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning 2025
2 Super-SST (ViT-Small) 18.51±0.36 SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning 2025
3 SemiOccam 22.19 ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels Shu1L0n9/SemiOccam 2025
4 CCSSL(FixMatch) 24.3 Class-Aware Contrastive Semi-Supervised Learning tencentyouturesearch/classification-semicls 2022
5 SimMatch 25.07 SimMatch: Semi-supervised Learning with Similarity Matching kylezheng1997/simmatch 2022
6 ShrinkMatch 25.17 Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning LiheYoung/ShrinkMatch 2023
7 FixMatch+DM 25.88±0.23
8 NP-Match 26.03 NP-Match: When Neural Processes meet Semi-Supervised Learning jianf-wang/np-match 2022
9 FreeMatch 26.47 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning microsoft/semi-supervised-learning · torchssl/torchssl · siyi-wind/STiL · +3 2022
10 FlexMatch 26.49±0.20 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling torchssl/torchssl · beandkay/sequencematch 2021
11 LiDAM 26.50 LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching 2020
12 DoubleMatch 27.07± 0.26 DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision walline/doublematch 2022
13 Dash (RA, WRN-28-8) 27.18±0.21 Dash: Semi-Supervised Learning with Dynamic Thresholding 2021
14 ReMixMatch 27.43±0.31 ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring google-research/mixmatch · google-research/remixmatch · zysymu/AdaMatch-pytorch 2019
15 FixMatch+CR 27.58 Contrastive Regularization for Semi-Supervised Learning 2022
16 FixMatch (CTA, WRN-28-8) 28.64±0.24 FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence google-research/fixmatch · kekmodel/FixMatch-pytorch · LeeDoYup/FixMatch-pytorch · +23 2020
17 Semi-SST (ViT-Small) 16.62±0.28 SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning 2025
18 Super-SST (ViT-Small) 18.51±0.36 SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning 2025
19 SemiOccam 22.19 ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels Shu1L0n9/SemiOccam 2025
20 CCSSL(FixMatch) 24.3 Class-Aware Contrastive Semi-Supervised Learning tencentyouturesearch/classification-semicls 2022
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