GitHub - chttyte/GLRLDLW: Reliable Global-Local Representation Learning and Dynamic Label Weighting For Cross-Domain Facial Expression Recognition

CGLRL's Trainning Model ( Table Ⅰof paper )

Backbone \ Target Datasets	FER2013	ExpW	SFEW
ResNet-50	1638244076	1638115309	1638294758
MobileNet-v2	1648861856	1648861886	1648878815

The code for each configuration can be found in this link using the file timestamp in the table above .

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
AdversarialNetwork.py		AdversarialNetwork.py
Dataset.py		Dataset.py
GraphConvolutionNetwork.py		GraphConvolutionNetwork.py
Loss.py		Loss.py
MobileNet.py		MobileNet.py
README.md		README.md
ResNet.py		ResNet.py
TrainOnSourceDomain.py		TrainOnSourceDomain.py
TrainOnSourceDomain.sh		TrainOnSourceDomain.sh
TransferToTargetDomain.py		TransferToTargetDomain.py
TransferToTargetDomain.sh		TransferToTargetDomain.sh
Utils.py		Utils.py
VGG.py		VGG.py
exp		exp
getPreTrainedModel_ResNet.py		getPreTrainedModel_ResNet.py
model.py		model.py
ⅣB4-1.py		ⅣB4-1.py