Few-shot Classification on CIFAR-FS (test)
97.64Mean AccuracyMPA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MPAVenue=None, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 97.64 | — | — | — | |
| SPMVenue=AAAI-24, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 93.1 | — | — | — | |
| Units-NTSMeta-Training Dataset=CifarFS, Uncertainty Threshold=0.12022.03 | 92 | — | — | — | |
| EA + Masked PSShots=5-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 90.84 | — | — | — | |
| HCTransformersVenue=CVPR-22, Pre-trained=false, Way=5-way, Shot=5-shot2026.02 | 90.5 | — | — | — | |
| NCC + Masked PSShots=5-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 90.49 | — | — | — | |
| Units-MLWay=5-way, Shot=5-shot, Uncertainty Threshold=0.12022.03 | 90.46 | — | — | — | |
| SemFew-TransVenue=CVPR-24, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 89.11 | — | — | — | |
| CPEAVenue=CVPR-23, Pre-trained=false, Way=5-way, Shot=5-shot2026.02 | 88.98 | — | — | — | |
| SP-CLIPVenue=CVPR-23, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 88.24 | — | — | — | |
| Units-MLWay=5-way, Shot=1-shot, Uncertainty Threshold=0.12022.03 | 87.92 | — | — | — | |
| EA + Basic PSShots=5-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 87.08 | — | — | — | |
| RM + Masked PSShots=5-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 86.21 | — | — | — | |
| SEVProVenue=IJCAI-24, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 86.12 | — | — | — | |
| Meta-UAFSVenue=IJCAI-21, Pre-trained=false, Way=5-way, Shot=5-shot2026.02 | 85.92 | — | — | — | |
| NCC + Basic PSShots=5-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 85.79 | — | — | — | |
| CAMLVenue=ICLR-24, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 85.5 | — | — | — | |
| EA BaselineShots=5-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 85.32 | — | — | — | |
| Units-NTSMeta-Training Dataset=CifarFS, Uncertainty Threshold=0.22022.03 | 84.6 | — | — | — | |
| NCC BaselineShots=5-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 84.43 | — | — | — | |
| Units-MLWay=5-way, Shot=5-shot, Uncertainty Threshold=0.22022.03 | 83.54 | — | — | — | |
| EA + Masked PSShots=1-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 83.02 | — | — | — | |
| RM BaselineShots=5-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 82.26 | — | — | — | |
| NCC + Masked PSShots=1-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 82 | — | — | — | |
| RM + Basic PSShots=5-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 81.68 | — | — | — | |
| EA + Basic PSShots=1-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 77.74 | — | — | — | |
| Units-NTSMeta-Training Dataset=CifarFS2022.03 | 76.76 | — | — | — | |
| Units-MLWay=5-way, Shot=5-shot2022.03 | 76.69 | — | — | — | |
| Units-MLWay=5-way, Shot=1-shot, Uncertainty Threshold=0.22022.03 | 76.62 | — | — | — | |
| Units-NTSWay=5-way, Shot=5-shot, Task Selection=None2022.03 | 76.15 | — | — | — | |
| NCC + Basic PSShots=1-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 75.78 | — | — | — | |
| Bayesian TAMLMeta-Training Dataset=CifarFS2022.03 | 75.15 | — | — | — | |
| VERSAWay=5-way, Shot=5-shot, Local Reproduction=true2022.03 | 74.69 | — | — | — | |
| FedFSL-CFRDVenue=AAAI-25, Pre-trained=false, Way=5-way, Shot=5-shot2026.02 | 74.58 | — | — | — | |
| RM + Masked PSShots=1-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 74.17 | — | — | — | |
| RM + Basic PSShots=1-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 73.32 | — | — | — | |
| Meta-SGDMeta-Training Dataset=CifarFS2022.03 | 72.71 | — | — | — | |
| fo-Proto-MAMLMeta-Training Dataset=CifarFS2022.03 | 71.8 | — | — | — | |
| MAMLMeta-Training Dataset=CifarFS2022.03 | 71.55 | — | — | — | |
| MAMLWay=5-way, Shot=5-shot2022.03 | 71.5 | — | — | — | |
| MetaSGDWay=5-way, Shot=5-shot, Local Reproduction=true2022.03 | 71.16 | — | — | — | |
| ReptileWay=5-way, Shot=5-shot2022.03 | 71.08 | — | — | — | |
| EA BaselineShots=1-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 69.86 | — | — | — | |
| RM BaselineShots=1-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 67.81 | — | — | — | |
| NCC BaselineShots=1-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 66.56 | — | — | — | |
| VERSAWay=5-way, Shot=1-shot, Local Reproduction=true2022.03 | 60.6 | — | — | — | |
| Units-MLWay=5-way, Shot=1-shot2022.03 | 59.84 | — | — | — | |
| Units-NTSWay=5-way, Shot=1-shot, Task Selection=None2022.03 | 59.8 | — | — | — | |
| MAMLWay=5-way, Shot=1-shot2022.03 | 58.9 | — | — | — | |
| MetaSGDWay=5-way, Shot=1-shot, Local Reproduction=true2022.03 | 57.77 | — | — | — | |
| ReptileWay=5-way, Shot=1-shot2022.03 | 55.86 | — | — | — | |
| BASELINE++Backbone=ResNet-182021.01 | — | 59.67 | 71.4 | — | |
| BASELINE++Backbone=WRN2021.01 | — | 67.5 | 80.08 | — | |
| DOTA (adapted)Params=No, Grads=No, Opt=No, Stream=Yes, Upstream=No2026.02 | — | 58.76 | 76.89 | 83.54 | |
| Exponential Tilting (Inductive)Params=No, Grads=No, Opt=No, Stream=No, Upstream=No2026.02 | — | 60.49 | 78.31 | 83.81 | |
| Exponential Tilting (Linear Head FT)Params=Yes, Grads=Yes, Opt=Yes, Stream=No, Upstream=No2026.02 | — | 64.73 | 83.59 | 88.89 | |
| Exponential Tilting (Transductive)Params=No, Grads=No, Opt=No, Stream=Yes, Upstream=No2026.02 | — | 62.17 | 79.85 | 85.22 | |
| Frozen BaselineParams=No, Grads=No, Opt=No, Stream=No, Upstream=No2026.02 | — | 53.87 | 74.68 | 82.48 | |
| FT-LinearParams=Yes, Grads=Yes, Opt=Yes, Stream=No, Upstream=No2026.02 | — | 63.72 | 81.25 | 87.08 | |
| k-NN in EmbeddingsParams=No, Grads=No, Opt=No, Stream=No, Upstream=No2026.02 | — | 58.21 | 76.34 | 83.15 | |
| Label PropagationParams=No, Grads=No, Opt=No, Stream=Yes, Upstream=No2026.02 | — | 59.83 | 77.42 | 84.06 | |
| MAMLBackbone=Conv-42021.01 | — | 58.9 | 71.5 | — | |
| METAOPTBackbone=ResNet-12, Wider CNN=true2021.01 | — | 72 | 84.2 | — | |
| METAOPTNETBackbone=WRN2021.01 | — | 72 | 84.2 | — | |
| METAQDABackbone=Conv-42021.01 | — | 60.52 | 77.33 | — | |
| METAQDABackbone=WRN2021.01 | — | 75.83 | 88.79 | — | |
| PROTONETBackbone=Conv-42021.01 | — | 55.5 | 72.02 | — | |
| PROTONETBackbone=ResNet-122021.01 | — | 72.2 | 83.5 | — | |
| R2D2Backbone=Conv-42021.01 | — | 62.3 | 77.4 | — | |
| RankedParams=No, Grads=No, Opt=No, Stream=No, Upstream=Yes2026.02 | — | 59.45 | 77.18 | 83.92 | |
| RELATIONNETBackbone=Conv-42021.01 | — | 55.5 | 69.3 | — | |
| S2M2Backbone=ResNet-182021.01 | — | 63.66 | 76.07 | — | |
| S2M2Backbone=WRN2021.01 | — | 74.81 | 87.47 | — | |
| SIMPLESHOTBackbone=Conv-4, Implementation=Our implementation2021.01 | — | 59.35 | 74.76 | — | |
| Temp. Scaling (TS)Params=No, Grads=Yes, Opt=Yes, Stream=No, Upstream=No2026.02 | — | 54.92 | 75.81 | 82.9 | |
| TentParams=Yes, Grads=Yes, Opt=Yes, Stream=Yes, Upstream=No2026.02 | — | 61.34 | 79.12 | 85.45 | |
| Tip-Adapter-FParams=Yes, Grads=Yes, Opt=Yes, Stream=No, Upstream=No2026.02 | — | 62.89 | 80.47 | 86.31 | |
| UNRAVELLINGBackbone=ResNet-12, Wider CNN=true2021.01 | — | 72.3 | 86.3 | — |