Image Classification on miniImageNet (test)
89.8AccuracySimple CNAPS
Evaluation Results
| Method | Links | |
|---|---|---|
| Simple CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.12 | 89.8 | |
| CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.12 | 87.31 | |
| EAauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.12 | 86.28 | |
| NCCauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.12 | 85.93 | |
| Simple CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.12 | 82.16 | |
| EAauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.12 | 80.58 | |
| RMauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.12 | 78.67 | |
| CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.12 | 77.99 | |
| LEOShot=5-shot, Way=5-way2019.12 | 77.59 | |
| EAauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.12 | 77.24 | |
| EAauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.12 | 76.88 | |
| TADAMShot=5-shot, Way=5-way2019.12 | 76.7 | |
| NCCauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.12 | 76.7 | |
| NCCauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.12 | 75.93 | |
| NCCauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.12 | 75.82 | |
| RMauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.12 | 74.42 | |
| Gidaris et al.Shot=5-shot, Way=5-way2019.12 | 73 | |
| EAauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.12 | 72.42 | |
| RMauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.12 | 72.39 | |
| NCCauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.12 | 69.93 | |
| TPNShot=5-shot, Way=5-way2019.12 | 69.86 | |
| RMauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.12 | 67.48 | |
| RMauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.12 | 66.67 | |
| ProtoNetShot=5-shot, Way=5-way2019.12 | 65.77 | |
| LEOShot=1-shot, Way=5-way2019.12 | 61.76 | |
| EAauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.12 | 61.69 | |
| TADAMShot=1-shot, Way=5-way2019.12 | 58.5 | |
| RMauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.12 | 58.42 | |
| NCCauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.12 | 56.7 | |
| Gidaris et al.Shot=1-shot, Way=5-way2019.12 | 56.2 | |
| TPNShot=1-shot, Way=5-way2019.12 | 55.51 | |
| MR-MAML (W)Way=5, Shot=52019.12 | 53.8 | |
| Nearest-neighborWay=5, Shot=52019.12 | 51 | |
| MetaSGDProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 50.47 | |
| Relation NetProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 50.44 | |
| HSMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 50.38 | |
| GNNProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 50.33 | |
| PLATIPUSProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 50.13 | |
| BMAMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers, Test Classes=202019.05 | 50.01 | |
| ReptileProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 49.97 | |
| MUMOMAMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 49.86 | |
| mAP-DLMProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 49.82 | |
| Fine-tuningWay=5, Shot=52019.12 | 49.8 | |
| MT-NetProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers, T-block=Removed2019.05 | 49.75 | |
| LLAMAProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 49.4 | |
| MAMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 48.7 | |
| Prototypical NetworkProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 46.61 | |
| ProtoNetShot=1-shot, Way=5-way2019.12 | 46.14 | |
| SNAILProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 45.1 | |
| Causal Meta VAEways=5-way, shots=1-shot, learning_type=unsupervised meta-learning2023.02 | 44.27 | |
| TAMLWay=5, Shot=52019.12 | 44.2 | |
| MR-MAML (W)Way=5, Shot=12019.12 | 43.6 | |
| Matching NetsProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 43.56 | |
| meta-learner LSTMProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.05 | 43.44 | |
| DRCways=5-way, shots=1-shot, learning_type=unsupervised meta-learning2023.02 | 43.14 | |
| STMTways=5-way, shots=1-shot, learning_type=unsupervised meta-learning2023.02 | 41.97 | |
| MAMLWay=5, Shot=52019.12 | 41.6 | |
| Nearest-neighborWay=5, Shot=12019.12 | 41.1 | |
| Fine-tuningWay=5, Shot=12019.12 | 28.9 | |
| MAMLWay=5, Shot=12019.12 | 26.3 | |
| TAMLWay=5, Shot=12019.12 | 26.1 |