Class Incremental Learning on ImageNet-100 B50 Inc10
85.22Average Performance (A-bar)HDSD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HDSDexemplar-based=false2026.05 | 85.22 | 81.72 | |
| RAPFexemplar-based=false2026.05 | 84.96 | 80.66 | |
| ADAM-Adapterexemplar-based=false2026.05 | 84.6 | 78.58 | |
| PROOFexemplar-based=true2026.05 | 82.78 | 71.04 | |
| BOFAexemplar-based=false2026.05 | 81.23 | 76.16 | |
| ENGINEexemplar-based=false2026.05 | 80.68 | 76.54 | |
| DualPromptexemplar-based=false2026.05 | 74.2 | 49.78 | |
| L2P++exemplar-based=false2026.05 | 74.11 | 49.46 | |
| WA-DLCDLC framework=Enabled, Extra parameters #P=0.52 MB, Feature Extractor #P=11.17 MB2025.12 | 73.84 | 64.4 | |
| BiC-DLCDLC framework=Enabled, Extra parameters #P=0.52 MB, Feature Extractor #P=11.17 MB2025.12 | 71.53 | 57.24 | |
| MKD-DLCDLC framework=Enabled, Extra parameters #P=0.52 MB, Feature Extractor #P=11.17 MB2025.12 | 66.42 | 56.23 | |
| BiCDLC framework=Disabled, Feature Extractor #P=11.17 MB2025.12 | 66.02 | 49.82 | |
| MKDDLC framework=Disabled, Feature Extractor #P=11.17 MB2025.12 | 65.64 | 54.68 | |
| WADLC framework=Disabled, Feature Extractor #P=11.17 MB2025.12 | 65.53 | 56.55 | |
| CODAexemplar-based=false2026.05 | 65.14 | 28.8 | |
| iCaRL-DLCDLC framework=Enabled, Extra parameters #P=0.52 MB, Feature Extractor #P=11.17 MB2025.12 | 65.03 | 54.06 | |
| DAKD-DLCDLC framework=Enabled, Extra parameters #P=0.52 MB, Feature Extractor #P=11.17 MB2025.12 | 64.73 | 53.94 | |
| iCaRLDLC framework=Disabled, Feature Extractor #P=11.17 MB2025.12 | 62.72 | 53.55 | |
| DAKDDLC framework=Disabled, Feature Extractor #P=11.17 MB2025.12 | 60.76 | 51.5 | |
| Replay-DLCDLC framework=Enabled, Extra parameters #P=0.52 MB, Feature Extractor #P=11.17 MB2025.12 | 59.76 | 49.62 | |
| ReplayDLC framework=Disabled, Feature Extractor #P=11.17 MB2025.12 | 55.22 | 43.16 |