Low-shot Image Classification on ImageNet 1k (novel classes)
85.5Top-5 AccAPN(w2v)+f-VAEGAN-D2
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| APN(w2v)+f-VAEGAN-D2shots=202022.04 | 85.5 | — | — | — | — | — | — | |
| f-VAEGAN-D2shots=202022.04 | 84.5 | — | — | — | — | — | — | |
| softmaxshots=202022.04 | 84.2 | — | — | — | — | — | — | |
| f-VAEGAN-D2-indshots=202022.04 | 84 | — | — | — | — | — | — | |
| APN(w2v)+f-VAEGAN-D2shots=102022.04 | 83.4 | — | — | — | — | — | — | |
| f-VAEGAN-D2shots=102022.04 | 81.5 | — | — | — | — | — | — | |
| PMN w/ HBackbone=ResNet-50, m=102019.05 | 81.4 | — | — | — | — | — | — | |
| softmaxshots=102022.04 | 81 | — | — | — | — | — | — | |
| IDeMe-NetBackbone=ResNet-50, m=102019.05 | 80.2 | — | — | — | — | — | 51.3 | |
| PMNBackbone=ResNet-50, m=102019.05 | 80.1 | — | — | — | — | — | — | |
| f-VAEGAN-D2-indshots=102022.04 | 79.9 | — | — | — | — | — | — | |
| G-SGMBackbone=ResNet-50, m=102019.05 | 79.5 | — | — | — | — | — | — | |
| APN(w2v)+f-VAEGAN-D2shots=52022.04 | 79.5 | — | — | — | — | — | — | |
| SVMBackbone=ResNet-50, m=102019.05 | 79.1 | — | — | — | — | — | 49.9 | |
| Proto-ClsfBackbone=ResNet-50, m=102019.05 | 79 | — | — | — | — | — | 49.5 | |
| f-VAEGAN-D2shots=52022.04 | 79 | — | — | — | — | — | — | |
| LRBackbone=ResNet-50, m=102019.05 | 78.8 | — | — | — | — | — | 50.9 | |
| SoftmaxBackbone=ResNet-50, m=102019.05 | 78.4 | — | — | — | — | — | — | |
| PMN w/ HBackbone=ResNet-50, m=52019.05 | 77.4 | — | — | — | — | — | — | |
| IDeMe-NetBackbone=ResNet-50, m=52019.05 | 77.4 | — | — | — | — | — | 47.5 | |
| softmaxshots=52022.04 | 76.7 | — | — | — | — | — | — | |
| Analogyshots=202022.04 | 76 | — | — | — | — | — | — | |
| PMNBackbone=ResNet-50, m=52019.05 | 75.9 | — | — | — | — | — | — | |
| f-VAEGAN-D2-indshots=52022.04 | 74.6 | — | — | — | — | — | — | |
| G-SGMBackbone=ResNet-50, m=52019.05 | 73.7 | — | — | — | — | — | — | |
| LRBackbone=ResNet-50, m=52019.05 | 73.6 | — | — | — | — | — | 44.3 | |
| SVMBackbone=ResNet-50, m=52019.05 | 72.8 | — | — | — | — | — | 42.6 | |
| Proto-ClsfBackbone=ResNet-50, m=52019.05 | 72.3 | — | — | — | — | — | 42.4 | |
| SoftmaxBackbone=ResNet-50, m=52019.05 | 71 | — | — | — | — | — | — | |
| APN(w2v)+f-VAEGAN-D2shots=22022.04 | 70.9 | — | — | — | — | — | — | |
| f-VAEGAN-D2shots=22022.04 | 70 | — | — | — | — | — | — | |
| IDeMe-NetBackbone=ResNet-50, m=22019.05 | 69.6 | — | — | — | — | — | 39.7 | |
| Analogyshots=102022.04 | 69.5 | — | — | — | — | — | — | |
| PMN w/ HBackbone=ResNet-50, m=22019.05 | 66.8 | — | — | — | — | — | — | |
| PMNBackbone=ResNet-50, m=22019.05 | 65.2 | — | — | — | — | — | — | |
| softmaxshots=22022.04 | 64.5 | — | — | — | — | — | — | |
| f-VAEGAN-D2-indshots=22022.04 | 64.4 | — | — | — | — | — | — | |
| APN(w2v)+f-VAEGAN-D2shots=12022.04 | 61.7 | — | — | — | — | — | — | |
| Analogyshots=52022.04 | 61.6 | — | — | — | — | — | — | |
| LRBackbone=ResNet-50, m=22019.05 | 61.3 | — | — | — | — | — | 32.3 | |
| G-SGMBackbone=ResNet-50, m=22019.05 | 60.9 | — | — | — | — | — | — | |
| IDeMe-NetBackbone=ResNet-50, m=12019.05 | 60.1 | — | — | — | — | — | 30.3 | |
| f-VAEGAN-D2shots=12022.04 | 60.1 | — | — | — | — | — | — | |
| Proto-ClsfBackbone=ResNet-50, m=22019.05 | 58.1 | — | — | — | — | — | 29.9 | |
| SVMBackbone=ResNet-50, m=22019.05 | 57.7 | — | — | — | — | — | 29.4 | |
| PMN w/ HBackbone=ResNet-50, m=12019.05 | 54.7 | — | — | — | — | — | — | |
| f-VAEGAN-D2-indshots=12022.04 | 54.4 | — | — | — | — | — | — | |
| PMNBackbone=ResNet-50, m=12019.05 | 53.3 | — | — | — | — | — | — | |
| SoftmaxBackbone=ResNet-50, m=22019.05 | 51 | — | — | — | — | — | — | |
| Analogyshots=22022.04 | 50.7 | — | — | — | — | — | — | |
| softmaxshots=12022.04 | 49.3 | — | — | — | — | — | — | |
| LRBackbone=ResNet-50, m=12019.05 | 47.9 | — | — | — | — | — | 22.9 | |
| G-SGMBackbone=ResNet-50, m=12019.05 | 47.3 | — | — | — | — | — | — | |
| Proto-ClsfBackbone=ResNet-50, m=12019.05 | 43.1 | — | — | — | — | — | 20.8 | |
| SVMBackbone=ResNet-50, m=12019.05 | 41.6 | — | — | — | — | — | 20.1 | |
| Analogyshots=12022.04 | 40.5 | — | — | — | — | — | — | |
| SoftmaxBackbone=ResNet-50, m=12019.05 | 28.2 | — | — | — | — | — | — | |
| BaselineBackbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 14.1 | 33.3 | 56.2 | 66.2 | 71.5 | — | |
| BaselineBackbone=ResNet-50, Lowshot phase=Classifier2016.06 | — | 28.2 | 51 | 71 | 78.4 | 82.3 | — | |
| Baseline (Data augmentation)Backbone=ResNet-10, Lowshot phase=Data augmentation2016.06 | — | 16 | 31.4 | 52.7 | 64.4 | 71.8 | — | |
| Baseline + Generation*Backbone=ResNet-10, Lowshot phase=Generation* + Classifier2016.06 | — | 29.7 | 42.2 | 56.1 | 64.5 | 70 | — | |
| Baseline + Generation*Backbone=ResNet-50, Lowshot phase=Generation* + Classifier2016.06 | — | 44.8 | 59 | 71.4 | 77.7 | 82.3 | — | |
| Baseline-ftBackbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 12.5 | 29.5 | 53.1 | 64.6 | 70.4 | — | |
| Batch SGM*Backbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 23 | 42.4 | 61.9 | 69.9 | 74.5 | — | |
| DecovBackbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 13 | 33.9 | 59.3 | 68.9 | 73.4 | — | |
| DropoutBackbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 26.8 | 43.9 | 59.6 | 66.2 | 69.5 | — | |
| L1*Backbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 20.8 | 40.8 | 59.8 | 67.5 | 71.6 | — | |
| L2*Backbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 29.1 | 47.4 | 62.3 | 68 | 70.6 | — | |
| Matching NetworkBackbone=ResNet-10, Lowshot phase=Matching Network2016.06 | — | 41.3 | 51.3 | 62.1 | 67.8 | 71.8 | — | |
| Model RegressionBackbone=ResNet-10, Lowshot phase=Model Regression2016.06 | — | 20.7 | 39.4 | 59.6 | 68.5 | 73.5 | — | |
| MultiverseBackbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 13.7 | 30.6 | 52.5 | 63.8 | 71.1 | — | |
| SGM*Backbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 23.1 | 42.4 | 61.7 | 69.6 | 73.8 | — | |
| SGM*Backbone=ResNet-50, Lowshot phase=Classifier2016.06 | — | 37.8 | 57.1 | 72.8 | 79.1 | 82.6 | — | |
| SGM* + Generation*Backbone=ResNet-10, Lowshot phase=Generation* + Classifier2016.06 | — | 32.8 | 46.4 | 61.7 | 69.7 | 73.8 | — | |
| SGM* + Generation*Backbone=ResNet-50, Lowshot phase=Generation* + Classifier2016.06 | — | 45.1 | 58.8 | 72.7 | 79.1 | 82.6 | — | |
| TripletsBackbone=ResNet-10, Lowshot phase=Classifier2016.06 | — | 24.5 | 41.8 | 56 | 61.3 | 64.2 | — |