Few-shot Image Classification on FC100 (test)
90.57AccuracyMPA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MPAVenue=None, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 90.57 | — | — | |
| SPMVenue=AAAI-24, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 83.78 | — | — | |
| HCTransformersVenue=CVPR-22, Pre-trained=false, Way=5-way, Shot=5-shot2026.02 | 66.42 | — | — | |
| EA + Masked PSShots=5-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 65.64 | — | — | |
| NCC + Masked PSShots=5-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 65.52 | — | — | |
| CPEAVenue=CVPR-23, Pre-trained=false, Way=5-way, Shot=5-shot2026.02 | 65.02 | — | — | |
| SemFew-TransVenue=CVPR-24, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 65.02 | — | — | |
| R2D2shot=10-shot2021.10 | 61.72 | 12 | 77.94 | |
| SP-CLIPVenue=CVPR-23, Pre-trained=true, Way=5-way, Shot=5-shot2026.02 | 61.55 | — | — | |
| MetaOptNet-SVMshot=10-shot2021.10 | 60.52 | 9.54 | 77.03 | |
| RFSshots=52021.08 | 60 | — | — | |
| MetaOptNet-Ridgeshot=10-shot2021.10 | 59.52 | 11.56 | 75.3 | |
| MeLashots=52021.08 | 59.5 | — | — | |
| EA + Basic PSShots=5-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 58.13 | — | — | |
| MCRNet-SVMbackbone=ResNet-12, shots=5-shot, base-learner=SVM2020.07 | 57.8 | — | — | |
| NCC + Basic PSShots=5-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 57.51 | — | — | |
| EA BaselineShots=5-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 57.46 | — | — | |
| Meta-UAFSVenue=IJCAI-21, Pre-trained=false, Way=5-way, Shot=5-shot2026.02 | 57.43 | — | — | |
| MCRNet-RRbackbone=ResNet-12, shots=5-shot, base-learner=Ridge Regression2020.07 | 56.6 | — | — | |
| NCC BaselineShots=5-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 56.25 | — | — | |
| ProtoNetsshot=10-shot2021.10 | 56.15 | 9.93 | 72.94 | |
| TADAMbackbone=ResNet-12, shots=5-shot2020.07 | 56.1 | — | — | |
| TADAMshots=52021.08 | 56.1 | — | — | |
| Baseline-SVMbackbone=ResNet-12, shots=5-shot, base-learner=SVM2020.07 | 55.5 | — | — | |
| MetaOptNetshots=52021.08 | 55.5 | — | — | |
| MTLbackbone=ResNet-12, shots=5-shot, is_end_to_end=false2020.07 | 55.4 | — | — | |
| Fine-tuningbackbone=ResNet-12, shots=5-shot2020.07 | 55.39 | — | — | |
| Baseline-RRbackbone=ResNet-12, shots=5-shot, base-learner=Ridge Regression2020.07 | 55.3 | — | — | |
| EA + Masked PSShots=1-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 54.59 | — | — | |
| MetaOptNet-SVMshot=5-shot2021.10 | 54.45 | 5.75 | 74.01 | |
| R2D2shot=5-shot2021.10 | 54.35 | 6.72 | 74.34 | |
| NCC + Masked PSShots=1-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 53.72 | — | — | |
| MetaOptNet-Ridgeshot=5-shot2021.10 | 53.2 | 5.97 | 72.65 | |
| ProtoNetshots=52021.08 | 52.5 | — | — | |
| RM + Masked PSShots=5-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 52.02 | — | — | |
| EA + Basic PSShots=1-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 51.23 | — | — | |
| ProtoNetsshot=5-shot2021.10 | 50.49 | 5.57 | 70.31 | |
| RM BaselineShots=5-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 50.28 | — | — | |
| NCC + Basic PSShots=1-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 49.51 | — | — | |
| RM + Basic PSShots=5-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 49.18 | — | — | |
| MCshot=10-shot2021.10 | 49.12 | 8.35 | 65.27 | |
| Prototypical Networksbackbone=4CONV, shots=5-shot2020.07 | 48.6 | — | — | |
| MCshot=5-shot2021.10 | 47.12 | 5.17 | 66.33 | |
| RFSshots=12021.08 | 44.4 | — | — | |
| MAMLshot=10-shot2021.10 | 44.3 | 10.51 | 64.98 | |
| MeLashots=12021.08 | 44 | — | — | |
| MTLbackbone=ResNet-12, shots=1-shot, is_end_to_end=false2020.07 | 43.6 | — | — | |
| MAMLshot=5-shot2021.10 | 43.58 | 7.51 | 61.64 | |
| RM + Basic PSShots=1-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Basic embeddings, Pruning level=02020.12 | 43.22 | — | — | |
| RM + Masked PSShots=1-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Masked embeddings, Pruning level=02020.12 | 42.04 | — | — | |
| EA BaselineShots=1-shot, Classifier type=Embedding adaptation (EA), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 41.52 | — | — | |
| Baseline-SVMbackbone=ResNet-12, shots=1-shot, base-learner=SVM2020.07 | 41.1 | — | — | |
| MetaOptNetshots=12021.08 | 41.1 | — | — | |
| MCRNet-SVMbackbone=ResNet-12, shots=1-shot, base-learner=SVM2020.07 | 41 | — | — | |
| MCRNet-RRbackbone=ResNet-12, shots=1-shot, base-learner=Ridge Regression2020.07 | 40.7 | — | — | |
| Baseline-RRbackbone=ResNet-12, shots=1-shot, base-learner=Ridge Regression2020.07 | 40.5 | — | — | |
| NCC BaselineShots=1-shot, Classifier type=Nearest-centroid classifier (NCC), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 40.28 | — | — | |
| TADAMbackbone=ResNet-12, shots=1-shot2020.07 | 40.1 | — | — | |
| TADAMshots=12021.08 | 40.1 | — | — | |
| MetaOptNet-Ridgeshot=1-shot2021.10 | 39.13 | 5.44 | 61.28 | |
| MetaOptNet-SVMshot=1-shot2021.10 | 38.19 | 5.29 | 60.14 | |
| R2D2shot=1-shot2021.10 | 37.91 | 6.13 | 59.67 | |
| Fine-tuningbackbone=ResNet-12, shots=1-shot2020.07 | 37.52 | — | — | |
| RM BaselineShots=1-shot, Classifier type=Relation module (RM), Auxiliary data configuration=Baseline (None), Pruning level=02020.12 | 37.51 | — | — | |
| ProtoNetshots=12021.08 | 37.5 | — | — | |
| ProtoNetsshot=1-shot2021.10 | 37.21 | 5.25 | 59.75 | |
| MCshot=1-shot2021.10 | 36.56 | 6.53 | 56.75 | |
| Prototypical Networksbackbone=4CONV, shots=1-shot2020.07 | 35.3 | — | — | |
| MAMLshot=1-shot2021.10 | 31.89 | 7.32 | 50.13 |