Few-shot Image Classification on ISIC (test)
55.12AccuracySEAL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SEALParameters Updated=Linear+Affines, Base Model=SEAL2023.04 | 55.12 | — | — | |
| MAMLWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 55.09 | — | — | |
| PsCoWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 54.59 | — | — | |
| MoCo v2Way=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 52.14 | — | — | |
| SwAVWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 51.99 | — | — | |
| SimCLRWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 51.35 | — | — | |
| NormalParameters Updated=Linear+Affines, Base Model=Normal2023.04 | 49.4 | — | — | |
| Meta-SVEBMWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 48.43 | — | — | |
| ProtoNetsWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 48.38 | — | — | |
| Normal (long)Parameters Updated=Linear+Affines, Base Model=Normal (long)2023.04 | 47.36 | — | — | |
| MAMLWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 47.34 | — | — | |
| SEALParameters Updated=Linear, Base Model=SEAL2023.04 | 46.96 | — | — | |
| AFAway=5-way, shot=5-shot2023.06 | 46.01 | — | — | |
| ProtoDiffway=5-way, shot=5-shot2023.06 | 45.65 | — | — | |
| ATAway=5-way, shot=5-shot2023.06 | 44.91 | — | — | |
| PsCoWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 44 | — | — | |
| MoCo v2Way=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 43.43 | — | — | |
| SwAVWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 43.21 | — | — | |
| SimCLRWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 42.83 | — | — | |
| GNNway=5-way, shot=5-shot2023.06 | 42.54 | — | — | |
| HVMway=5-way, shot=5-shot2023.06 | 42.05 | — | — | |
| NormalParameters Updated=Linear, Base Model=Normal2023.04 | 41.24 | — | — | |
| ProtoNetsWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 40.62 | — | — | |
| ProtoNetway=5-way, shot=5-shot2023.06 | 39.57 | — | — | |
| Meta-GMVAEWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 39.48 | — | — | |
| Meta-SVEBMWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 38.85 | — | — | |
| ProtoDiffway=5-way, shot=1-shot2023.06 | 34.97 | — | — | |
| HVMway=5-way, shot=1-shot2023.06 | 33.87 | — | — | |
| Meta-GMVAEWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 33.48 | — | — | |
| AFAway=5-way, shot=1-shot2023.06 | 33.21 | — | — | |
| ATAway=5-way, shot=1-shot2023.06 | 33.21 | — | — | |
| Normal (long)Parameters Updated=Linear, Base Model=Normal (long)2023.04 | 32.85 | — | — | |
| LLFParameters Updated=Linear, Base Model=LLF2023.04 | 32.26 | — | — | |
| LLFParameters Updated=Linear+Affines, Base Model=LLF2023.04 | 30.54 | — | — | |
| GNNway=5-way, shot=1-shot2023.06 | 30.14 | — | — | |
| ProtoNetway=5-way, shot=1-shot2023.06 | 29.62 | — | — | |
| Rot + KD + CEnegative_sample_setup=noisy negative samples2022.06 | — | 32.35 | 43.81 | |
| Rot + KD + POODLE-Bnegative_sample_setup=noisy negative samples2022.06 | — | 33.56 | 44.17 | |
| Rot + KD + POODLE-Rnegative_sample_setup=noisy negative samples2022.06 | — | 32.21 | 43.87 | |
| SimCLR2022.06 | — | 26.25 | 36.09 | |
| STARTUP2022.06 | — | 32.66 | 47.22 | |
| STARTUP (no SS)2022.06 | — | 32.24 | 46.48 | |
| Transfer2022.06 | — | 30.71 | 43.08 | |
| Transfer + SimCLR2022.06 | — | 32.63 | 45.96 |