Face Recognition on VGGFace2 (train)
100Accuracy (Trained RM)pretrained
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| pretrainedBackbone=ResNet50, Drm=true, Dfg=true, RTE=5970.95, # param. (%)=25,557,032 (100%)2026.01 | 100 | 100 | |
| retrainedBackbone=ResNet50, Drm=true, Dfg=false, RTE=5870.35, # param. (%)=25,557,032 (100%)2026.01 | 100 | 0 | |
| SalUnBackbone=ResNet50, Drm=true, Dfg=true, RTE=312.71, learning rate=5 × 10−2, # param. (%)=12,778,516 (50%)2026.01 | 99.96 | 0 | |
| FTBackbone=ResNet50, Drm=true, Dfg=false, RTE=294.62, learning rate=5 × 10−2, # param. (%)=25,557,032 (100%)2026.01 | 99.84 | 0 | |
| SalUnBackbone=ResNet50, Drm=false, Dfg=true, RTE=9.99, learning rate=10−4, # param. (%)=12,778,516 (50%)2026.01 | 99.68 | 5.5 | |
| RLBackbone=ResNet50, Drm=false, Dfg=true, RTE=5.59, learning rate=5 × 10−4, # param. (%)=25,557,032 (100%)2026.01 | 99.64 | 11.25 | |
| DELETEBackbone=ResNet50, Drm=false, Dfg=true, RTE=5.82, learning rate=5 × 10−4, # param. (%)=25,557,032 (100%)2026.01 | 99.5 | 5.5 | |
| BTBackbone=ResNet50, Drm=true, Dfg=true, RTE=8.24, learning rate=5 × 10−4, # param. (%)=25,557,032 (100%)2026.01 | 99.39 | 5 | |
| RLBackbone=ResNet50, Drm=true, Dfg=true, RTE=303.81, learning rate=5 × 10−2, # param. (%)=25,557,032 (100%)2026.01 | 99.11 | 0 | |
| L2ULBackbone=ResNet50, Drm=false, Dfg=true, RTE=176.69, learning rate=1 × 10−4, # param. (%)=25,557,032 (100%)2026.01 | 98.09 | 2.75 | |
| LOFTBackbone=ResNet50, Drm=only Σrm pre, Dfg=only Σfg pre, RTE=0.45, learning rate=1, steps=50, # param. (%)=43,008 (0.17%)2026.01 | 97.2 | 0 | |
| GABackbone=ResNet50, Drm=false, Dfg=true, RTE=3.35, learning rate=5 × 10−4, # param. (%)=25,557,032 (100%)2026.01 | 91.91 | 0 |