Image Classification on tieredImageNet (test)
89.56AccuracyEPNetSSL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| EPNetSSLBackbone=WRN-28-10, Number of shots=10-shot2020.03 | 89.56 | — | — | |
| EPNetBackbone=WRN-28-10, Number of shots=10-shot2020.03 | 89.46 | — | — | |
| EPNetSSLBackbone=RESNET-12, Number of shots=10-shot2020.03 | 89.24 | — | — | |
| EPNetBackbone=RESNET-12, Number of shots=10-shot2020.03 | 88.39 | — | — | |
| NCCauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.12 | 87.83 | — | — | |
| EAauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.12 | 87.53 | — | — | |
| EAauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.12 | 82.9 | — | — | |
| NCCauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.12 | 82.38 | — | — | |
| NCCauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.12 | 82.21 | — | — | |
| EAauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.12 | 81.94 | — | — | |
| NCCauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.12 | 80.66 | — | — | |
| EAauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.12 | 80.54 | — | — | |
| RMauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.12 | 78.7 | — | — | |
| RMauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.12 | 78.65 | — | — | |
| NCCauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.12 | 76.09 | — | — | |
| EAauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.12 | 75.52 | — | — | |
| RMauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.12 | 72.62 | — | — | |
| EAauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.12 | 67.92 | — | — | |
| RMauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.12 | 67.51 | — | — | |
| NCCauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.12 | 64.46 | — | — | |
| RMauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.12 | 64.39 | — | — | |
| RMauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.12 | 62.58 | — | — | |
| Simple CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.12 | 0.8901 | — | — | |
| CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.12 | 0.8657 | — | — | |
| LEOShot=5-shot, Way=5-way2019.12 | 0.8144 | — | — | |
| Simple CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.12 | 0.7829 | — | — | |
| CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.12 | 0.7512 | — | — | |
| TPNShot=5-shot, Way=5-way2019.12 | 0.733 | — | — | |
| ProtoNetShot=5-shot, Way=5-way2019.12 | 0.6957 | — | — | |
| LEOShot=1-shot, Way=5-way2019.12 | 0.6633 | — | — | |
| TPNShot=1-shot, Way=5-way2019.12 | 0.5991 | — | — | |
| ProtoNetShot=1-shot, Way=5-way2019.12 | 0.4858 | — | — | |
| HyperTransformerBackbone channels=64, Number of ways=52022.01 | — | 56.3 | 73.9 | |
| HyperTransformer-32Backbone channels=32, Number of ways=52022.01 | — | 54 | 70.2 | |
| MAML-32Backbone channels=32, Number of ways=52022.01 | — | 51.7 | 70.3 | |
| MELRBackbone channels=64, Number of ways=52022.01 | — | 56.4 | 73.2 | |
| PNBackbone channels=64, Number of ways=52022.01 | — | 53.3 | 72.7 | |
| RNBackbone channels=64, Number of ways=52022.01 | — | 54.5 | 71.3 |