Face Attribute Recognition on LFWA
87.72AccuracyFAR-AMTN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FAR-AMTNBackbone=ResNet50, Parameters=27.36, Memory=90.7, Test Speed=42.82026.01 | 87.72 | — | |
| PS-MCNN-LCParameters=162026.01 | 87.36 | — | |
| MTCNNBackbone=ResNet502026.01 | 87.22 | 84.56 | |
| MGG-NetBackbone=ResNet50, Parameters=12.82026.01 | 87.2 | — | |
| MGG-NetBackbone=ResNet502026.01 | 87.2 | 85.19 | |
| MGMTNBackbone=ResNeSt502026.01 | 87.01 | 81.1 | |
| MGMTNBackbone=ResNet502026.01 | 86.87 | 81.29 | |
| ICKDBackbone=ResNet18, Parameters=12.32/27.792026.01 | 86.77 | — | |
| ICKDBackbone=ResNet182026.01 | 86.77 | — | |
| APSBackbone=VGG162026.01 | 86.74 | — | |
| APSBackbone=VGG162026.01 | 86.74 | — | |
| FaRLBackbone=ViT-B2026.01 | 86.69 | — | |
| FaRLBackbone=ViT-B2026.01 | 86.69 | — | |
| DMM-CNNBackbone=ResNet50, Parameters=3602026.01 | 86.56 | — | |
| DMM-CNNBackbone=ResNet502026.01 | 86.56 | — | |
| SSPLBackbone=ResNet502026.01 | 86.53 | — | |
| SSPLBackbone=ResNet502026.01 | 86.53 | — | |
| DMTLBackbone=AlexNet2026.01 | 86 | — | |
| baselineBackbone=ResNeSt502026.01 | 85.62 | 80.72 | |
| DP-FARBackbone=ResNet502026.01 | 85.18 | 77.5 | |
| Slim-CNNParameters=0.6, Memory=7.92026.01 | 84 | — | |
| LNets+ANetParameters=>1002026.01 | 83.85 | — | |
| LNets+ANet2026.01 | 83.85 | — | |
| Branch-64-1.0Backbone=VGG16, Parameters=4.99, Test Speed=15.22026.01 | 83.24 | — | |
| FFS-MTNBackbone=VGG162026.01 | 83.24 | — | |
| AttCNNParameters=< 62026.01 | 73.03 | — |