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Facial Expression Recognition on BioVid (target subjects (10))

92.22Accuracy (Sub-1)Supervised fine-tuning
46.699258.517170.33582.1529Aug 8, 2025

Evaluation results

MethodLinks
Supervised fine-tuningSetting=Oracle2025.0892.2286.8391.8992.9691.2787.6585.4890.393.2892.1290.4
SFDA-PFTSetting=SFDA (data-based), Backbone=ResNet-18, Optimizer=Adam, Learning rate=1 x 10^-3, Batch size=64, Learning rate scheduler=ReduceLROnPlateau, lambda_expr=1.0, lambda_style=0.32025.0880.6571.7590.2681.5492.6870.0684.2679.2974.5358.0878.31
SFITSetting=SFDA (data-based)2025.0876.8565.3378.780.4487.0154.4457.5470.8157.6675.9270.47
SFDA-ITSetting=SFDA (data-based)2025.0871.5463.8984.5380.386.2459.1877.6672.0854.9767.0171.74
DSFDASetting=SFDA (model-based)2025.0865.7264.177.5773.1275.257.5976.1574.7359.0861.5468.48
Source model (no adaptation)Setting=Source-only2025.0862.7852.7682.0280.8382.7356.0371.8566.950.0145.7965.17
TPDSSetting=SFDA (model-based)2025.0862.2653.1675.2364.7987.0656.1458.265.8454.2445.7962.27
SHOTSetting=SFDA (model-based)2025.0852.9745.3538.9849.851.9246.4351.7246.7452.142.247.82
NRCSetting=SFDA (model-based)2025.0848.4532.1668.659.5265.0634.8552.244.0644.8234.6848.44