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Few-Shot Image Classification 벤치마크

Few-Shot Image Classification on CIFAR-FS 5-way (1-shot)

76개 결과 · ⬇ CSV · JSON

Accuracy

61.61 68.69 75.78 82.86 89.94 2019-04 2026-09 MetaOptNet-SVM-trainval — 72.8 (2019-04-07) MetaOptNet-SVM-trainval — 72.8 (2019-04-07) S2M2R — 74.81 (2019-07-28) S2M2R — 74.81 (2019-07-28) ACC + Amphibian — 73.1 (2019-11-25) ACC + Amphibian — 73.1 (2019-11-25) R2-D2+Task Aug — 77.66 (2020-02-08) MetaOptNet-SVM+Task Aug — 76.75 (2020-02-08) R2-D2+Task Aug — 77.66 (2020-02-08) MetaOptNet-SVM+Task Aug — 76.75 (2020-02-08) ICI — 76.51 (2020-03-26) ICI — 76.51 (2020-03-26) SIB — 80.0 (2020-04-27) SIB — 80.0 (2020-04-27) Adaptive Subspace Network — 78.0 (2020-06-01) Adaptive Subspace Network — 78.0 (2020-06-01) PT+MAP — 87.69 (2020-06-06) PT+MAP — 87.69 (2020-06-06) SKD — 76.9 (2020-06-17) SKD — 76.9 (2020-06-17) MCRNet-SVM — 74.7 (2020-07-21) MCRNet-RR — 73.8 (2020-07-21) MCRNet-SVM — 74.7 (2020-07-21) MCRNet-RR — 73.8 (2020-07-21) RCN - ResNet12 — 69.02 (2020-09-08) RCN - Conv4-64 — 61.61 (2020-09-08) RCN - ResNet12 — 69.02 (2020-09-08) RCN - Conv4-64 — 61.61 (2020-09-08) MTUNet+WRN — 68.34 (2020-11-25) MTUNet+ResNet-18 — 66.31 (2020-11-25) MTUNet+WRN — 68.34 (2020-11-25) MTUNet+ResNet-18 — 66.31 (2020-11-25) pseudo-shots — 81.87 (2020-12-13) pseudo-shots — 81.87 (2020-12-13) ConstellationNets — 75.4 (2021-01-01) ConstellationNets — 75.4 (2021-01-01) MetaQDA — 75.83 (2021-01-08) MetaQDA — 75.83 (2021-01-08) Illumination Augmentation — 87.73 (2021-02-06) Illumination Augmentation — 87.73 (2021-02-06) LST+MAP — 87.79 (2021-02-09) LST+MAP — 87.79 (2021-02-09) Invariance-Equivariance — 77.87 (2021-03-01) Invariance-Equivariance — 77.87 (2021-03-01) Multi-Task Learning — 69.5 (2021-06-16) Multi-Task Learning — 69.5 (2021-06-16) RENet — 74.51 (2021-08-22) RENet — 74.51 (2021-08-22) SSFormers — 74.5 (2021-09-27) SSFormers — 74.5 (2021-09-27) PEMnE-BMS* — 88.44 (2021-10-18) PEMnE-BMS* — 88.44 (2021-10-18) EASY 3xResNet12 (transductive) — 87.16 (2022-01-24) EASY 2xResNet12 1/√2 (transductive) — 86.99 (2022-01-24) EASY 3xResNet12 (inductive) — 76.2 (2022-01-24) EASY 2xResNet12 1/√2 (inductive) — 75.24 (2022-01-24) EASY 3xResNet12 (transductive) — 87.16 (2022-01-24) EASY 2xResNet12 1/√2 (transductive) — 86.99 (2022-01-24) EASY 3xResNet12 (inductive) — 76.2 (2022-01-24) EASY 2xResNet12 1/√2 (inductive) — 75.24 (2022-01-24) HCTransformers — 78.89 (2022-03-17) HCTransformers — 78.89 (2022-03-17) PT+MAP+SF+SOT (transductive) — 89.94 (2022-04-06) PT+MAP+SF+SOT (transductive) — 89.94 (2022-04-06) P>M>F (P=DINO-ViT-base, M=ProtoNet) — 84.3 (2022-04-15) P>M>F (P=DINO-ViT-base, M=ProtoNet) — 84.3 (2022-04-15) FewTURE — 77.76 (2022-06-15) FewTURE — 77.76 (2022-06-15) BAVARDAGE — 87.35 (2022-09-18) BAVARDAGE — 87.35 (2022-09-18) CAML [Laion-2b] — 83.3 (2023-10-17) CAML [Laion-2b] — 83.3 (2023-10-17) PT+MAP+SF+BPA (transductive) — 89.94 (2024-06-25) PT+MAP+SF+BPA (transductive) — 89.94 (2024-06-25) GML (ResNet-12) — 71.09 (2025-01-24) GML (ResNet-12) — 71.09 (2025-01-24) MetaOptNet-SVM-trainval — 72.8 (2019-04-07) S2M2R — 74.81 (2019-07-28) R2-D2+Task Aug — 77.66 (2020-02-08) SIB — 80.0 (2020-04-27) PT+MAP — 87.69 (2020-06-06) Illumination Augmentation — 87.73 (2021-02-06) LST+MAP — 87.79 (2021-02-09) PEMnE-BMS* — 88.44 (2021-10-18) PT+MAP+SF+SOT (transductive) — 89.94 (2022-04-06)
RankModel Accuracy Extra Training Data PaperCodeYear
1 PT+MAP+SF+SOT (transductive) 89.94 The Self-Optimal-Transport Feature Transform danielshalam/bpa 2022
1 PT+MAP+SF+BPA (transductive) 89.94 The Balanced-Pairwise-Affinities Feature Transform danielshalam/bpa 2024
3 PEMnE-BMS* 88.44 Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning yhu01/bms 2021
4 LST+MAP 87.79 Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network ctom2/latent-space-transform 2021
5 Illumination Augmentation 87.73 Sill-Net: Feature Augmentation with Separated Illumination Representation lanfenghuanyu/Sill-Net 2021
6 PT+MAP 87.69 Leveraging the Feature Distribution in Transfer-based Few-Shot Learning sicara/easy-few-shot-learning · yhu01/PT-MAP · yhu01/bms · +3 2020
7 BAVARDAGE 87.35 Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification 2022
8 EASY 3xResNet12 (transductive) 87.16 EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients ybendou/easy · brain-bzh/pefsl · ybendou/fs-generalization 2022
9 EASY 2xResNet12 1/√2 (transductive) 86.99 EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients ybendou/easy · brain-bzh/pefsl · ybendou/fs-generalization 2022
10 P>M>F (P=DINO-ViT-base, M=ProtoNet) 84.3 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference hushell/pmf_cvpr22 2022
11 CAML [Laion-2b] 83.3 Context-Aware Meta-Learning cfifty/CAML 2023
12 pseudo-shots 81.87 Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks BatsResearch/efsl · Reza-esfandiarpoor/pseudo-shots 2020
13 SIB 80.0 Empirical Bayes Transductive Meta-Learning with Synthetic Gradients amzn/xfer · hushell/sib_meta_learn 2020
14 HCTransformers 78.89 Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning stomachcold/hctransformers 2022
15 Adaptive Subspace Network 78 Adaptive Subspaces for Few-Shot Learning chrysts/dsn_fewshot 2020
16 Invariance-Equivariance 77.87 Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning nayeemrizve/invariance-equivariance 2021
17 FewTURE 77.76 Rethinking Generalization in Few-Shot Classification mrkshllr/FewTURE 2022
18 R2-D2+Task Aug 77.66 Task Augmentation by Rotating for Meta-Learning AceChuse/TaskLevelAug 2020
19 SKD 76.9 Self-supervised Knowledge Distillation for Few-shot Learning brjathu/SKD · yiren-jian/embedding-learning-fsl 2020
20 MetaOptNet-SVM+Task Aug 76.75 Task Augmentation by Rotating for Meta-Learning AceChuse/TaskLevelAug 2020
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