Few-Shot Class-Incremental Learning on CUB-200 (Session Accuracies and Improvements)
83.4Session 0 AccuracyYourSelf
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| YourSelfBackbone=ResNet-182025.03 | 83.4 | 77 | 75.3 | 72.2 | 69.9 | 66.8 | 66 | 65.6 | 64.1 | 64.5 | 63.6 | 69.85 | 0.86 | 0.12 | |
| BiAGBackbone=ResNet-182025.03 | 82.97 | 79.75 | 76.56 | 71.88 | 70.72 | 68.3 | 68.55 | 66.49 | 64.63 | 64.25 | 63.72 | 70.71 | — | — | |
| SVACBackbone=ResNet-182025.03 | 81.85 | 77.92 | 74.95 | 70.21 | 69.96 | 67.02 | 66.16 | 65.3 | 63.84 | 63.15 | 62.49 | 69.35 | 1.36 | 1.23 | |
| Comp-FSCILBackbone=ResNet-182025.03 | 80.94 | 77.51 | 74.34 | 71 | 68.77 | 66.41 | 64.85 | 63.92 | 62.12 | 62.1 | 61.17 | 68.47 | 2.24 | 2.55 | |
| NC-FSCILBackbone=ResNet-182025.03 | 80.45 | 75.98 | 72.3 | 70.28 | 68.17 | 65.16 | 64.43 | 63.25 | 60.66 | 60.01 | 59.44 | 67.28 | 3.43 | 4.28 | |
| ALFSCILBackbone=ResNet-182025.03 | 79.79 | 76.53 | 73.12 | 69.02 | 67.62 | 64.76 | 63.45 | 62.32 | 60.83 | 60.21 | 59.3 | 66.99 | 3.72 | 4.42 | |
| KRRMBackbone=ResNet-182025.03 | 79.46 | 76.11 | 73.12 | 69.31 | 67.97 | 65.86 | 64.5 | 63.83 | 62.2 | 62 | 60.97 | 67.76 | 2.95 | 2.75 | |
| BiDistBackbone=ResNet-182025.03 | 79.12 | 75.37 | 72.8 | 69.05 | 67.53 | 65.12 | 64 | 63.51 | 61.87 | 61.47 | 60.93 | 67.34 | 3.37 | 2.79 | |
| GKEALBackbone=ResNet-182025.03 | 78.88 | 75.62 | 72.32 | 68.62 | 67.23 | 64.26 | 62.98 | 61.89 | 60.2 | 59.21 | 58.67 | 66.34 | 4.37 | 5.05 | |
| SoftNetBackbone=ResNet-182025.03 | 78.14 | 74.61 | 71.28 | 67.46 | 65.12 | 62.39 | 60.84 | 59.17 | 57.41 | 57.12 | 56.64 | 64.56 | 6.15 | 7.08 | |
| WaRPBackbone=ResNet-182025.03 | 77.74 | 74.15 | 70.82 | 66.9 | 65.01 | 62.64 | 61.4 | 59.86 | 57.95 | 57.77 | 57.01 | 64.66 | 6.05 | 6.71 | |
| ALICEBackbone=ResNet-182025.03 | 77.4 | 72.7 | 70.6 | 67.2 | 65.9 | 63.4 | 62.9 | 61.9 | 60.5 | 60.6 | 60.1 | 65.75 | 4.96 | 3.62 | |
| IDLVQBackbone=ResNet-182025.03 | 77.37 | 74.72 | 70.28 | 67.13 | 65.34 | 63.52 | 62.1 | 61.54 | 59.04 | 58.68 | 57.81 | 65.23 | 5.48 | 5.91 | |
| LIMITBackbone=ResNet-182025.03 | 76.32 | 74.18 | 72.68 | 69.19 | 68.79 | 65.64 | 63.57 | 62.69 | 61.47 | 60.44 | 58.45 | 66.67 | 4.04 | 5.27 | |
| MetaFSCILBackbone=ResNet-182025.03 | 75.9 | 72.41 | 68.78 | 64.78 | 62.96 | 59.99 | 58.3 | 56.85 | 54.78 | 53.82 | 52.64 | 61.93 | 8.78 | 11.08 | |
| FACTBackbone=ResNet-182025.03 | 75.9 | 73.23 | 70.84 | 66.13 | 65.56 | 62.15 | 61.74 | 59.83 | 58.41 | 57.89 | 56.94 | 64.42 | 6.29 | 6.78 | |
| CECBackbone=ResNet-182025.03 | 75.85 | 71.94 | 68.5 | 63.5 | 62.43 | 58.27 | 57.73 | 55.81 | 54.83 | 53.52 | 52.28 | 61.33 | 9.38 | 11.44 | |
| ERLBackbone=ResNet-182025.03 | 73.52 | 71.09 | 66.13 | 63.25 | 59.89 | 59.49 | 58.64 | 57.72 | 56.15 | 54.75 | 52.28 | 61.17 | 9.54 | 11.44 | |
| MgSvFBackbone=ResNet-182025.03 | 72.29 | 70.53 | 67 | 64.92 | 62.67 | 61.89 | 59.63 | 59.15 | 57.73 | 55.92 | 54.33 | 62.37 | 8.34 | 9.39 | |
| TOPICBackbone=ResNet-182025.03 | 68.68 | 62.49 | 54.81 | 49.99 | 45.25 | 41.4 | 38.35 | 35.36 | 32.22 | 28.31 | 26.28 | 43.92 | 26.79 | 37.44 | |
| SPPRBackbone=ResNet-182025.03 | 68.68 | 61.85 | 57.43 | 52.68 | 50.19 | 46.88 | 44.65 | 43.07 | 40.17 | 39.63 | 37.33 | 49.32 | 21.39 | 26.39 |