data:

• storing datasets
• prepare images-labels pairs
• generating csv file

utils:

stl: prepare data generator for single-task learning confusion: prepare data generator for multi-task learning with joint training method alternative: prepare data generator for single-task learning with alternative triaing method

training scripts for different methods

alternative-mtl:

• EAGP: emotion, age, gener, pose
• runing script: python ALTERNATIVE_EP.py {other similar function, ALTERNATIVE_EA.py, ALTERNATIVE_EGA.py}
• dataset --dataset_emotion=expw --dataset_pose=aflw
• model --epoch=64 --model=vggFace
  --batch_size=32
• traiing tricks --is_augmentation=False --is_dropout=False --is_bn=False --weights_decay=0 --is_freezing=False --no_freezing_epoch=0
• multi-task weights --P_loss_weights=1 --E_loss_weights=1
• preserve information method(distilling knowledge) && augment information method(pseudo labels) --is_naive=False --is_distilled=False --is_pesudo=True --is_interpolation=False --interpolation_weights=0 --selection_threshold=0.8
• selection method --is_pesudo_confidence=True --is_pesudo_density=True --is_pesudo_distribution=True --cluster_k=3

confusion-mtl

• EAGP: emotion, age, gener, pose
• runing script: python CONFUSION_EPGA_multitask.py {other similar function,CONFUSION_EA_multitask.py}
• dataset --dataset_emotion=expw --dataset_pose=aflw
• model --epoch=64 --model=vggFace --batch_size=32
• traiing tricks --is_augmentation=False --is_dropout=False --is_bn=False --weights_decay=0 --is_freezing=False --no_freezing_epoch=0
• multi-task weights --P_loss_weights=1 --E_loss_weights=1

stl

• runing script: python STL_general_train.py --dataset=SFEW (support emotion,pose,gender,age datasets) --model=vggFace --epoch=64 --batch_size=32
• triaing tricks --is_augmentation=False --is_dropout=False --is_bn=False --weights_decay=0 --is_freezing=False --no_freezing_epoch=0
• task type --task_type=0(refer to the definition of model)