Class-Incremental Learning on CUB200 (BCR, NCR, AVG)
74.1BCRProtoNet
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ProtoNetBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 74.1 | 26.2 | 50.2 | |
| SLDABackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 73.9 | 0.3 | 37.2 | |
| SLDA-fixed-ΣBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 73.7 | 6.8 | 40.3 | |
| SimpleShotBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 73.7 | 29.5 | 51.6 | |
| Gen1S-VAEBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 73.7 | 46.6 | 60.2 | |
| RelationNetBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 73.1 | 21.9 | 47.5 | |
| Gen1S-DiffusionBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 73 | 41.5 | 57.2 | |
| OrCoBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 71.6 | 12.5 | 42 | |
| FACTBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 70.6 | 23.5 | 47 | |
| SAVCBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 70.6 | 28.2 | 49.4 | |
| LIMITBackbone=ResNet18, Shot count=1, Protocol=Single-class 1SCIL2026.01 | 58.8 | 14.6 | 36.7 |