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Functions918 in github.com/HCPLab-SYSU/CD-FER-Benchmark

⨍ Functions 918◇ Types & classes 182
↓ 1 callersFunctionBulidAdversarialNetwork
Bulid Adversarial Network.
AGRA/Utils.py:176
↓ 1 callersFunctionBulidAdversarialNetwork
Bulid Adversarial Network.
CADA/Utils.py:176
↓ 1 callersFunctionBulidModel
Bulid Model.
FTDNN/Utils.py:136
↓ 1 callersFunctionBulidModel
Bulid Model.
SAFN/Utils.py:139
↓ 1 callersFunctionBulidModel
Bulid Model.
LPL/Utils.py:136
↓ 1 callersFunctionBulidModel
Bulid Model.
SWD/Utils.py:136
↓ 1 callersFunctionBulidModel
Bulid Model.
ICID/Utils.py:136
↓ 1 callersFunctionBulidModel
Bulid Model.
DFA/Utils.py:136
↓ 1 callersFunctionDANN
Paper Link : https://papers.nips.cc/paper/7436-conditional-adversarial-domain-adaptation.pdf Github Link : https://github.com/thuml/CDAN
AGRA/Loss.py:16
↓ 1 callersFunctionDANN
Paper Link : https://papers.nips.cc/paper/7436-conditional-adversarial-domain-adaptation.pdf Github Link : https://github.com/thuml/CDAN
CADA/Loss.py:16
↓ 1 callersFunctionDFA
Paper Link: https://ieeexplore.ieee.org/document/7550085
DFA/Loss.py:96
↓ 1 callersFunctionEntropy
(input_)
AGRA/Loss.py:8
↓ 1 callersFunctionEntropy
(input_)
CADA/Loss.py:8
↓ 1 callersFunctionGetDataFromDataset
(dataset, index, batch_size)
DFA/Utils.py:1348
↓ 1 callersFunctionGetIndexFromDataset
(model, source_dataset, target_dataset)
ECAN/Utils.py:1336
↓ 1 callersFunctionGetIndexFromDataset
(model, source_dataset, target_dataset)
DETN/Utils.py:1336
↓ 1 callersFunctionGetIndexFromDataset
(source_dataset)
DFA/Utils.py:1335
↓ 1 callersFunctionInitialize_Mean
(args, model, useClassify=True)
SAFN/Utils.py:1072
↓ 1 callersFunctionInitialize_Mean_Cov
(args, model, useClassify=True)
SAFN/Utils.py:1115
↓ 1 callersFunctionLP_Loss
Paper Link : http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Reliable_Crowdsourcing_and_CVPR_2017_paper.pdf
LPL/Loss.py:20
↓ 1 callersFunctionMobileNetV2_onlyGlobal
Constructs a MobileNetV2 model.
AGRA/MobileNet.py:406
↓ 1 callersFunctionMobileNetV2_onlyGlobal
Constructs a MobileNetV2 model.
SAFN/MobileNet.py:406
↓ 1 callersFunctionMobileNetV2_onlyGlobal
Constructs a MobileNetV2 model.
CADA/MobileNet.py:406
↓ 1 callersFunctionReweighted_MMD
Paper Link : https://arxiv.org/pdf/1904.11150.pdf
ECAN/Loss.py:96
↓ 1 callersFunctionReweighted_MMD
Paper Link : https://arxiv.org/pdf/1904.11150.pdf
DETN/Loss.py:96
↓ 1 callersFunctionSWD
Paper Link : https://arxiv.org/pdf/1903.04064.pdf Github Link : https://github.com/apple/ml-cvpr2019-swd
SWD/Loss.py:3
↓ 1 callersFunctionSet_Optimizer
Set Optimizer.
FTDNN/Utils.py:72
↓ 1 callersFunctionSet_Optimizer
Set Optimizer.
SAFN/Utils.py:75
↓ 1 callersFunctionSet_Optimizer
Set Optimizer.
LPL/Utils.py:72
↓ 1 callersFunctionSet_Optimizer
Set Optimizer.
SWD/Utils.py:72
↓ 1 callersFunctionSet_Optimizer
Set Optimizer.
ICID/Utils.py:72
↓ 1 callersFunctionSet_Optimizer
Set Optimizer.
DFA/Utils.py:72
↓ 1 callersFunctionSet_Param_Optim
Set Parameters for optimization.
FTDNN/Utils.py:64
↓ 1 callersFunctionSet_Param_Optim
Set Parameters for optimization.
SAFN/Utils.py:67
↓ 1 callersFunctionSet_Param_Optim
Set Parameters for optimization.
LPL/Utils.py:64
↓ 1 callersFunctionSet_Param_Optim
Set Parameters for optimization.
SWD/Utils.py:64
↓ 1 callersFunctionSet_Param_Optim
Set Parameters for optimization.
ICID/Utils.py:64
↓ 1 callersFunctionSet_Param_Optim
Set Parameters for optimization.
DFA/Utils.py:64
↓ 1 callersFunctionTest
Test.
ECAN/TransferToTargetDomain.py:145
↓ 1 callersFunctionTest
Test.
ECAN/TrainOnSourceDomain.py:152
↓ 1 callersFunctionTest
Test.
FTDNN/Train.py:150
↓ 1 callersFunctionTest
Test.
AGRA/TransferToTargetDomain.py:227
↓ 1 callersFunctionTest
Test.
AGRA/TrainOnSourceDomain.py:174
↓ 1 callersFunctionTest
Test.
SAFN/TrainOnSourceDomain.py:174
↓ 1 callersFunctionTest
Test.
LPL/Train.py:158
↓ 1 callersFunctionTest
Test.
SWD/Train.py:203
↓ 1 callersFunctionTest
Test.
ICID/Train.py:155
↓ 1 callersFunctionTest
Test.
DETN/TransferToTargetDomain.py:145
↓ 1 callersFunctionTest
Test.
DETN/TrainOnSourceDomain.py:152
↓ 1 callersFunctionTest
Test.
CADA/TransferToTargetDomain.py:227
↓ 1 callersFunctionTest
Test.
CADA/TrainOnSourceDomain.py:174
↓ 1 callersFunctionTest
Test.
DFA/Train.py:169
↓ 1 callersFunctionTrain
Train.
ECAN/TransferToTargetDomain.py:45
↓ 1 callersFunctionTrain
Train.
ECAN/TrainOnSourceDomain.py:50
↓ 1 callersFunctionTrain
Train.
FTDNN/Train.py:50
↓ 1 callersFunctionTrain
Train.
AGRA/TransferToTargetDomain.py:66
↓ 1 callersFunctionTrain
Train.
AGRA/TrainOnSourceDomain.py:68
↓ 1 callersFunctionTrain
Train.
SAFN/TrainOnSourceDomain.py:68
↓ 1 callersFunctionTrain
Train.
LPL/Train.py:51
↓ 1 callersFunctionTrain
Train.
SWD/Train.py:51
↓ 1 callersFunctionTrain
Train.
ICID/Train.py:51
↓ 1 callersFunctionTrain
Train.
DETN/TransferToTargetDomain.py:45
↓ 1 callersFunctionTrain
Train.
DETN/TrainOnSourceDomain.py:50
↓ 1 callersFunctionTrain
Train.
CADA/TransferToTargetDomain.py:66
↓ 1 callersFunctionTrain
Train.
CADA/TrainOnSourceDomain.py:68
↓ 1 callersFunctionTrain
Train.
DFA/Train.py:45
↓ 1 callersFunctionVGG_onlyGlobal
Constructs a vgg-16 model.
AGRA/VGG.py:331
↓ 1 callersFunctionVGG_onlyGlobal
Constructs a vgg-16 model.
SAFN/VGG.py:331
↓ 1 callersFunctionVGG_onlyGlobal
Constructs a vgg-16 model.
CADA/VGG.py:331
↓ 1 callersMethod__init__
(self, useIntraGCN=True, useInterGCN=True, useRandomMatrix=False, useAllOneMatrix=False, useCov=False, useClus
AGRA/VGG.py:9
↓ 1 callersMethod__init__
(self, useIntraGCN=True, useInterGCN=True, useRandomMatrix=False, useAllOneMatrix=False, useCov=False, useClus
SAFN/VGG.py:9
↓ 1 callersMethod__init__
(self, useIntraGCN=True, useInterGCN=True, useRandomMatrix=False, useAllOneMatrix=False, useCov=False, useClus
CADA/VGG.py:9
↓ 1 callersFunctionalexnet
r"""AlexNet model architecture from the `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper. Args: pretrained (bool): If T
AGRA/AdversarialNetwork.py:105
↓ 1 callersFunctionalexnet
r"""AlexNet model architecture from the `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper. Args: pretrained (bool): If T
SAFN/AdversarialNetwork.py:105
↓ 1 callersFunctionalexnet
r"""AlexNet model architecture from the `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper. Args: pretrained (bool): If T
CADA/AdversarialNetwork.py:105
↓ 1 callersFunctioncalc_coeff
(iter_num, high=1.0, low=0.0, alpha=10.0, max_iter=10000.0)
SAFN/AdversarialNetwork.py:360
↓ 1 callersMethodclassify
(self, imgs, locations)
AGRA/VGG.py:58
↓ 1 callersMethodclassify
(self, imgs, locations)
AGRA/VGG.py:272
↓ 1 callersMethodclassify
(self, imgs, locations)
AGRA/ResNet.py:194
↓ 1 callersMethodclassify
(self, imgs, locations)
AGRA/ResNet.py:404
↓ 1 callersMethodclassify
(self, imgs, locations)
AGRA/MobileNet.py:114
↓ 1 callersMethodclassify
(self, imgs, locations)
AGRA/MobileNet.py:348
↓ 1 callersMethodclassify
(self, imgs, locations)
SAFN/VGG.py:58
↓ 1 callersMethodclassify
(self, imgs, locations)
SAFN/VGG.py:272
↓ 1 callersMethodclassify
(self, imgs, locations)
SAFN/ResNet.py:194
↓ 1 callersMethodclassify
(self, imgs, locations)
SAFN/ResNet.py:404
↓ 1 callersMethodclassify
(self, imgs, locations)
SAFN/MobileNet.py:114
↓ 1 callersMethodclassify
(self, imgs, locations)
SAFN/MobileNet.py:348
↓ 1 callersMethodclassify
(self, imgs, locations)
CADA/VGG.py:58
↓ 1 callersMethodclassify
(self, imgs, locations)
CADA/VGG.py:272
↓ 1 callersMethodclassify
(self, imgs, locations)
CADA/ResNet.py:194
↓ 1 callersMethodclassify
(self, imgs, locations)
CADA/ResNet.py:404
↓ 1 callersMethodclassify
(self, imgs, locations)
CADA/MobileNet.py:114
↓ 1 callersMethodclassify
(self, imgs, locations)
CADA/MobileNet.py:348
↓ 1 callersMethodclassify
(self, imgs, locations)
DFA/MobileNet.py:100
↓ 1 callersMethodcrop_featureMap
(self, featureMap, locations)
ECAN/VGG.py:75
↓ 1 callersMethodcrop_featureMap
(self, featureMap, locations)
ECAN/ResNet.py:368
↓ 1 callersMethodcrop_featureMap
(self, featureMap, locations)
ECAN/MobileNet.py:131
↓ 1 callersMethodcrop_featureMap
(self, featureMap, locations)
FTDNN/VGG.py:75
↓ 1 callersMethodcrop_featureMap
(self, featureMap, locations)
FTDNN/ResNet.py:214
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