*mini*ImageNet Leaderboard (5-class)

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Method | Venue | Year | Backbone | Setting | 1-shot | 5-shot | Code | Reported by |
---|---|---|---|---|---|---|---|---|

GNN + FT | ICLR | 2020 | ResNet-10 | Inductive | 66.32 ± 0.80 | 81.98 ± 0.55 | [PyTorch] | [Source] |

MetaOptNet | CVPR | 2019 | ResNet-12 | Inductive | 62.64 ± 0.61 | 78.63 ± 0.46 | [PyTorch] | [Source] |

MTL | CVPR | 2019 | ResNet-12 | Inductive | 61.2 ± 1.8 | 75.5 ± 0.8 | [PyTorch] | [Source] |

TADAM | NeurIPS | 2018 | ResNet-12 | Inductive | 58.5 ± 0.3 | 76.7 ± 0.3 | [TensorFlow] | [Source] |

MAML | ICML | 2017 | 4CONV | Inductive | 48.70 ± 1.75 | 63.11 ± 0.92 | [TensorFlow] | [Source] |

LEO | ICLR | 2019 | WRN-28-10 | Inductive | 61.76 ± 0.08 | 77.59 ± 0.12 | [TensorFlow] | [Source] |

ProtoNets | NeurIPS | 2017 | 4CONV | Inductive | 49.42 ± 0.78 | 68.20 ± 0.66 | [PyTorch] | [Source] |

MatchingNets | NeurIPS | 2016 | 4CONV | Inductive | 43.56 ± 0.84 | 55.31 ± 0.73 | [TensorFlow] | [Source] |

RelationNets | CVPR | 2018 | 4CONV | Inductive | 50.44 ± 0.82 | 65.32 ± 0.70 | [PyTorch] | [Source] |

TPN | ICLR | 2019 | 4CONV | Transductive | 55.51 ± 0.86 | 69.86 ± 0.65 | [TensorFlow] | [Source] |

AdaResNet | ICML | 2018 | ResNet-12 | Inductive | 56.88 ± 0.62 | 71.94 ± 0.57 | None | [Source] |

DeepEMD | CVPR | 2020 | ResNet-12 | Inductive | 65.91 ± 0.82 | 82.41 ± 0.56 | [PyTorch] | [Source] |

ProtoNets | NeurIPS | 2017 | ResNet-12 | Inductive | 60.37 ± 0.83 | 78.02 ± 0.57 | [PyTorch] | [Source] |

MatchingNets | NeurIPS | 2016 | ResNet-12 | Inductive | 63.08 ± 0.80 | 75.99 ± 0.60 | [TensorFlow] | [Source] |

CTM | CVPR | 2019 | ResNet-18 | Inductive | 64.12 ± 0.82 | 80.51 ± 0.13 | [PyTorch] | [Source] |

wDAE-GNN | CVPR | 2019 | WRN-28-10 | Inductive | 61.07 ± 0.15 | 76.75 ± 0.11 | [PyTorch] | [Source] |

PPA | CVPR | 2018 | WRN-28-10 | Inductive | 59.60 ± 0.41 | 73.74 ± 0.19 | None | [Source] |

CAN | NeurIPS | 2019 | ResNet-12 | Inductive | 63.85 ± 0.48 | 79.44 ± 0.34 | [PyTorch] | [Source] |

CAN+T | NeurIPS | 2019 | ResNet-12 | Transductive | 67.19 ± 0.55 | 80.64 ± 0.35 | [PyTorch] | [Source] |

LGM-Net | ICML | 2019 | 6CONV | Inductive | 69.13 ± 0.35 | 71.18 ± 0.68 | [TensorFlow] | [Source] |

FEAT | CVPR | 2020 | ResNet-12 | Inductive | 66.78 ± 0.20 | 82.05 ± 0.14 | [PyTorch] | [Source] |

FEAT | CVPR | 2020 | 4CONV | Inductive | 55.15 ± 0.20 | 71.61 ± 0.16 | [PyTorch] | [Source] |

FEAT | CVPR | 2020 | WRN-28-10 | Inductive | 65.10 ± 0.20 | 81.11 ± 0.14 | [PyTorch] | [Source] |

Dhillon et al. | ICLR | 2020 | WRN-28-10 | Transductive | 65.73 ± 0.68 | 78.40 ± 0.52 | None | [Source] |

SIB | ICLR | 2020 | WRN-28-10 | Transductive | 70.0 ± 0.6 | 79.2 ± 0.4 | [PyTorch] | [Source] |

SIB | ICLR | 2020 | 4CONV | Transductive | 63.26 ± 1.07 | 75.73 ± 0.71 | [PyTorch] | [Source] |

KTN | ICCV | 2019 | 4CONV | Inductive | 64.42 ± 0.72 | 74.16 ± 0.56 | None | [Source] |

Ravichandran et al. | ICCV | 2019 | 4CONV | Inductive | 49.07 ± 0.43 | 65.73 ± 0.36 | None | [Source] |

Ravichandran et al. | ICCV | 2019 | ResNet-12 | Inductive | 60.71 | 77.64 | None | [Source] |

Variational method | ICCV | 2019 | ResNet-12 | Inductive | 61.23 ± 0.26 | 77.69 ± 0.17 | None | [Source] |

Variational method | ICCV | 2019 | 4CONV | Inductive | 57.15 ± 0.31 | 71.54 ± 0.23 | None | [Source] |

TEAM | ICCV | 2019 | 4CONV | Transductive | 56.57 | 72.04 | None | [Source] |

TEAM | ICCV | 2019 | ResNet-12 | Transductive | 60.07 | 75.90 | None | [Source] |

Robust 20-dist++ | ICCV | 2019 | ResNet-12 | Inductive | 63.73 ± 0.62 | 81.19 ± 0.43 | [PyTorch] | [Source] |

DeepEMD v2 | arXiv | 2020 | ResNet-12 | Inductive | 68.77 ± 0.29 | 84.13 ± 0.53 | [PyTorch] | [Source] |

E^{3}BM |
ECCV | 2020 | ResNet-12 | Inductive | 63.8 ± 0.4 | 80.1 ± 0.3 | [PyTorch] | [Source] |

E^{3}BM |
ECCV | 2020 | WRN-28-10 | Transductive | 71.4 ± 0.5 | 81.2 ± 0.4 | [PyTorch] | [Source] |

LST | NeurIPS | 2019 | ResNet-12 | Semi-supervised | 70.1 ± 1.9 | 78.7 ± 0.8 | [TensorFlow] | [Source] |

AM3 | NeurIPS | 2019 | ResNet-12 | Inductive | 65.30 ± 0.49 | 78.10 ± 0.36 | [TensorFlow] | [Source] |

DSN-MR | CVPR | 2020 | ResNet-12 | Transductive | 64.60 ± 0.72 | 79.51 ± 0.50 | [PyTorch] | [Source] |

DPGN | CVPR | 2020 | ResNet-12 | Transductive | 67.77 ± 0.32 | 84.60 ± 0.43 | [PyTorch] | [Source] |

DPGN | CVPR | 2020 | 4CONV | Transductive | 66.01 ± 0.36 | 82.83 ± 0.41 | [PyTorch] | [Source] |

AFHN | CVPR | 2020 | ResNet-18 | Inductive | 62.38 ± 0.72 | 78.16 ± 0.56 | None | [Source] |

LR+ICI | CVPR | 2020 | ResNet-12 | Transductive | 66.80 | 79.26 | [PyTorch] | [Source] |

LR+ICI | CVPR | 2020 | ResNet-12 | Semi-supervised | 69.66 | 80.11 | [PyTorch] | [Source] |

LR+ICI v2 | arXiv | 2020 | ResNet-12 | Semi-supervised | 71.11 ± 1.15 | 81.25 ± 0.65 | [PyTorch] | [Source] |

LR+ICI v2 | arXiv | 2020 | ResNet-12 | Transductive | 68.70 ± 1.10 | 79.69 ± 0.66 | [PyTorch] | [Source] |

TransMatch | CVPR | 2020 | WRN-28-10 | Semi-supervised | 63.02 ± 1.07 | 82.24 ± 0.59 | None | [Source] |

∆-encoder | NeurIPS | 2018 | ResNet-18 | Inductive | 59.9 | 69.7 | [TensorFlow] | [Source] |

Neg-Cosine | ECCV | 2020 | ResNet-12 | Inductive | 63.85 ± 0.81 | 81.57 ± 0.56 | [PyTorch] | [Source] |

J. Kim et al. | ECCV | 2020 | ResNet-12 | Inductive | 65.08 ± 0.86 | 82.70 ± 0.54 | [PyTorch] | [Source] |

BD-CSPN | ECCV | 2020 | WRN-28-10 | Transductive | 70.31 ± 0.93 | 81.89 ± 0.60 | None | [Source] |

Centroid alignment | ECCV | 2020 | WRN-28-10 | Inductive | 65.92 ± 0.60 | 82.85 ± 0.55 | [PyTorch] | [Source] |

ICA + MSP | ECCV | 2020 | DenseNet | Transductive | 77.06 ± 0.26 | 84.99 ± 0.14 | None | [Source] |

ICA + MSP | ECCV | 2020 | DenseNet | Semi-supervised | 80.11 ± 0.25 | 85.78 ± 0.13 | None | [Source] |

Y. Tian et al. | ECCV | 2020 | ResNet-12 | Inductive | 64.82 ± 0.60 | 82.14 ± 0.43 | [PyTorch] | [Source] |

EPNet | ECCV | 2020 | WRN-28-10 | Transductive | 70.74 ± 0.85 | 84.34 ± 0.53 | [PyTorch] | [Source] |

EPNet | ECCV | 2020 | WRN-28-10 | Semi-supervised | 79.22 ± 0.92 | 88.05 ± 0.51 | [PyTorch] | [Source] |

F. Wu et al. | ECCV | 2020 | Capsule Network | Inductive | 66.43 ± 0.26 | 82.13 ± 0.21 | None | [Source] |

Su et al. | ECCV | 2020 | ResNet-18 | Inductive | - | 76.6 ± 0.7 | [PyTorch] | [Source] |

TIM | NeurIPS | 2020 | ResNet-18 | Transductive | 73.9 | 85.0 | [PyTorch] | [Source] |

TIM | NeurIPS | 2020 | WRN-28-10 | Transductive | 77.8 | 87.4 | [PyTorch] | [Source] |

IFSL | NeurIPS | 2020 | WRN-28-10 | Transductive | 73.51 | 83.21 | [PyTorch] | [Source] |

DKT | NeurIPS | 2020 | 4CONV | Inductive | 49.73 ± 0.07 | - | [PyTorch] | [Source] |

LR+DC | ICLR | 2021 | WRN-28-10 | Inductive | 68.57 ± 0.55 | 82.88 ± 0.42 | [PyTorch] | [Source] |

IEPT | ICLR | 2021 | ResNet-12 | Inductive | 67.05 ± 0.44 | 82.90 ± 0.30 | None | [Source] |

IEPT | ICLR | 2021 | 4CONV | Inductive | 56.26 ± 0.45 | 73.91 ± 0.34 | None | [Source] |

MELR | ICLR | 2021 | ResNet-12 | Inductive | 67.40 ± 0.43 | 83.40 ± 0.28 | None | [Source] |

MELR | ICLR | 2021 | 4CONV | Inductive | 55.35 ± 0.43 | 72.27 ± 0.35 | None | [Source] |

ConstellationNet | ICLR | 2021 | ResNet-12 | Inductive | 64.89 ± 0.23 | 79.95 ± 0.37 | None | [Source] |

OVE PG G P+ Cosine (ML) | ICLR | 2021 | 4CONV | Inductive | 50.02 ± 0.35 | 64.58 ± 0.31 | None | [Source] |

OVE PG G P+ Cosine (PL) | ICLR | 2021 | 4CONV | Inductive | 48.00 ± 0.24 | 67.14 ± 0.23 | None | [Source] |

BOIL | ICLR | 2021 | 4CONV | Inductive | 49.61 ± 0.16 | 66.45 ± 0.37 | None | [Source] |

FRN | CVPR | 2021 | ResNet-12 | Inductive | 66.45 ± 0.19 | 82.83 ± 0.13 | [PyTorch] | [Source] |

PT+MAP | arXiv | 2021 | WRN | Inductive | 65.35 ± 0.20 | 83.87 ± 0.13 | [PyTorch] | [Source] |

PT+MAP | arXiv | 2021 | WRN | Transductive | 82.92 ± 0.26 | 88.82 ± 0.13 | [PyTorch] | [Source] |

CSEI | AAAI | 2021 | ResNet-12 | Inductive | 68.94 ± 0.28 | 85.07 ± 0.50 | None | [Source] |

PTN | AAAI | 2021 | WRN-28-10 | Semi-supervised | 82.66 ± 0.97 | 88.43 ± 0.67 | None | [Source] |

P-Transfer | AAAI | 2021 | ResNet-12 | Inductive | 64.21 ± 0.77 | 80.38 ± 0.59 | None | [Source] |

CNL | AAAI | 2021 | ResNet-12 | Inductive | 67.96 ± 0.98 | 83.36 ± 0.51 | None | [Source] |

TACO | AAAI | 2021 | ResNet-12 | Semi-supervised | 68.23 | 83.42 | None | [Source] |

### Contact

Yaoyao Liu / yaoyao.liu (at) mpi-inf.mpg.de

Chi Zhang / chi007 (at) e.ntu.edu.sg