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Facial Expression Recognition on Aff-Wild2 (10 target subjects)

98.9Accuracy (Subject 1)Fine-tune
15.49237.14658.880.454Aug 8, 2025

Evaluation results

MethodLinks
Fine-tuneSetting=Oracle, Backbone=ResNet-182025.0898.998.7198.0398.3794.6683.3399.8781.4894.5497.8894.58
Supervised fine-tuningSetting=Oracle2025.0891.9392.8393.7393.2394.2393.7394.6395.5393.2394.2393.73
SFDA-PFTSetting=SFDA (data-based), Backbone=ResNet-182025.0860.8359.4758.2661.7257.3960.9156.1859.6461.0556.7559.2
SFDA-ITSetting=SFDA (data-based), Backbone=ResNet-182025.0859.6357.8854.4258.0753.6155.9450.8355.7658.2356.8356.12
SFITSetting=SFDA (data-based), Backbone=ResNet-182025.0858.4256.3754.7957.6155.0352.9856.8557.1249.5650.5755.93
DSFDASetting=SFDA (model-based), Backbone=ResNet-182025.0858.3156.7857.9659.2455.6358.0956.4157.1857.8256.1857.42
SFDA-PFTSetting=SFDA (data-based)2025.0852.6653.5654.4653.9654.9654.4655.3656.2653.9654.9654.46
SFDA-ITSetting=SFDA (data-based)2025.0849.350.251.150.651.651.15252.950.651.651.1
SFITSetting=SFDA (data-based)2025.0848.4349.3350.2349.7350.7350.2351.1352.0349.7350.7350.23
TPDSSetting=SFDA (model-based), Backbone=ResNet-182025.0847.6244.1843.7546.0342.8741.5944.2241.0749.0850.4945.09
SHOTSetting=SFDA (model-based), Backbone=ResNet-182025.084541.6740.4243.9139.8841.3442.183949.1650.8442.34
NRCSetting=SFDA (model-based), Backbone=ResNet-182025.0843.7742.3140.9844.2641.8340.6142.1243.2949.1250.7142.9
DSFDASetting=SFDA (model-based)2025.0837.2638.1639.0638.5639.5639.0639.9640.8638.5639.5639.06
TPDSSetting=SFDA (model-based)2025.0836.6937.5938.4937.9938.9938.4939.3940.2937.9938.9938.49
NRCSetting=SFDA (model-based)2025.0834.2435.1436.0435.5436.5436.0436.9437.8435.5436.5436.04
SHOTSetting=SFDA (model-based)2025.0833.7734.6735.5735.0736.0735.5736.4737.3735.0736.0735.57
Source modelSetting=Source-only, Backbone=ResNet-182025.0824.523.9721.9430.1732.4140.6316.9237.6718.7719.9826.7
Source model (no adaptation)Setting=Source-only2025.0818.719.620.5202120.521.422.3202120.5