title | layout |
---|---|
miniImageNet |
leaderboard |
Method | Venue | Year | Backbone | Setting | 1-shot | 5-shot | Code | Reported by |
---|---|---|---|---|---|---|---|---|
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] |
E3BM | ECCV | 2020 | ResNet-12 | Inductive | 63.8 ± 0.4 | 80.1 ± 0.3 | [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 | Inductive | 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](https://github.com/Yikai-Wang/ICI-FSL) | [Source] |
LR+ICI | CVPR | 2020 | ResNet-12 | Semi-supervised | 71.41 | 81.12 | [PyTorch](https://github.com/Yikai-Wang/ICI-FSL) | [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 ± 0.59 | [TensorFlow] | [Source] |