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Class Incremental Learning on Photo 10-shot (test)

84.68Average AccuracyG2LoRA
36.16448.759561.35573.9505Jun 1, 2026

Evaluation results

MethodLinks
G2LoRAshot_count=10-shot, scenario=CIL2026.0684.68-2.03
SimGCLshot_count=10-shot, scenario=CIL2026.0681.6-8.03
TPPshot_count=10-shot, scenario=CIL2026.0659.780
GraphPromptershot_count=10-shot, scenario=CIL2026.0655.54-39.23
InfLoRAshot_count=10-shot, scenario=CIL2026.0653.08-46.48
LLaMAshot_count=10-shot, scenario=CIL2026.0652.89-48.18
Cosineshot_count=10-shot, scenario=CIL2026.0652.56-34.12
LoRAshot_count=10-shot, scenario=CIL2026.0650.64-49.79
SD-LoRAshot_count=10-shot, scenario=CIL2026.0650.42-39.72
SimpleCILshot_count=10-shot, scenario=CIL2026.0648.83-31.61
RoBERTashot_count=10-shot, scenario=CIL2026.0648.18-1.66
GCNshot_count=10-shot, scenario=CIL2026.0643.92-26.44
EWCshot_count=10-shot, scenario=CIL2026.0643.48-44.87
LwFshot_count=10-shot, scenario=CIL2026.0643.24-31.24
TEENshot_count=10-shot, scenario=CIL2026.0643.05-51.52
GCNLLMEmbshot_count=10-shot, scenario=CIL2026.0641.03-53.52
LLaGAshot_count=10-shot, scenario=CIL2026.0639.52-55.03
GraphGPTshot_count=10-shot, scenario=CIL2026.0639.49-33.09
BERTshot_count=10-shot, scenario=CIL2026.0638.03-17.42