RMM (Modified ResNet-32)

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Incremental LearningonCIFAR-100 - 50 classes + 10 steps of 5 classes
Average Incremental Accuracy· 2023-01-14
67.61
best: 73.72 (TCIL)
RMM: Reinforced Memory Management for Class-Incremental Learning arXiv:2301.05792
Incremental LearningonCIFAR-100 - 50 classes + 5 steps of 10 classes
Average Incremental Accuracy· 2023-01-14
68.86
best: 74.88 (TCIL)
RMM: Reinforced Memory Management for Class-Incremental Learning arXiv:2301.05792
Incremental LearningonCIFAR-100 - 50 classes + 25 steps of 2 classes
Average Incremental Accuracy· 2023-01-14
66.21
best: 68.68 (D3Former)
RMM: Reinforced Memory Management for Class-Incremental Learning arXiv:2301.05792