SAFA+LDAM-DRW (ResNeXt-29)

Reported on 5 benchmarks across 5 tasks

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

Methodology3 results

Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate
10.61
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate
10.61
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate
10.61
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))

Computer Vision2 results

Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate
10.61
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate
10.61
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))