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

⨍ Functions 918◇ Types & classes 182
↓ 3 callersMethod__init__
(self, in_planes, out_planes, kernel_size=3, stride=1, groups=1)
SAFN/MobileNet.py:9
↓ 3 callersMethod__init__
(self, channels, reduction)
LPL/ResNet.py:70
↓ 3 callersMethod__init__
(self, channels, reduction)
SWD/ResNet.py:70
↓ 3 callersMethod__init__
(self, channels, reduction)
ICID/ResNet.py:70
↓ 3 callersMethod__init__
(self, in_planes, out_planes, kernel_size=3, stride=1, groups=1)
CADA/MobileNet.py:9
↓ 3 callersMethod__init__
(self, channels, reduction)
DFA/ResNet.py:70
↓ 3 callersFunctionk
(x, y, sigma=1)
DFA/Loss.py:102
↓ 3 callersFunctionlr_scheduler_withoutDecay
Learning rate without Decay.
AGRA/Utils.py:99
↓ 3 callersFunctionlr_scheduler_withoutDecay
Learning rate without Decay.
CADA/Utils.py:99
↓ 2 callersFunctionBulidModel
Bulid Model.
ECAN/Utils.py:136
↓ 2 callersFunctionBulidModel
Bulid Model.
AGRA/Utils.py:139
↓ 2 callersFunctionBulidModel
Bulid Model.
DETN/Utils.py:136
↓ 2 callersFunctionBulidModel
Bulid Model.
CADA/Utils.py:139
↓ 2 callersFunctionCDAN
Paper Link : https://papers.nips.cc/paper/7436-conditional-adversarial-domain-adaptation.pdf Github Link : https://github.com/thuml/CDAN
AGRA/Loss.py:32
↓ 2 callersFunctionCDAN
Paper Link : https://papers.nips.cc/paper/7436-conditional-adversarial-domain-adaptation.pdf Github Link : https://github.com/thuml/CDAN
CADA/Loss.py:32
↓ 2 callersFunctionGetDataFromDataset
(dataset, index, batch_size)
ECAN/Utils.py:1366
↓ 2 callersFunctionGetDataFromDataset
(dataset, index, batch_size)
DETN/Utils.py:1366
↓ 2 callersFunctionIR_onlyGlobal
Constructs a ir-18/ir-50 model.
AGRA/ResNet.py:466
↓ 2 callersFunctionIR_onlyGlobal
Constructs a ir-18/ir-50 model.
SAFN/ResNet.py:466
↓ 2 callersFunctionIR_onlyGlobal
Constructs a ir-18/ir-50 model.
CADA/ResNet.py:466
↓ 2 callersFunctionInitialize_Mean
(args, model, useClassify=True)
AGRA/Utils.py:1072
↓ 2 callersFunctionInitialize_Mean
(args, model, useClassify=True)
CADA/Utils.py:1072
↓ 2 callersFunctionInitialize_Mean_Cluster
(args, model, useClassify=True)
SAFN/Utils.py:1162
↓ 2 callersFunctionInitialize_Mean_Cov
(args, model, useClassify=True)
AGRA/Utils.py:1115
↓ 2 callersFunctionInitialize_Mean_Cov
(args, model, useClassify=True)
CADA/Utils.py:1115
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
ECAN/MobileNet.py:182
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
FTDNN/MobileNet.py:182
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
AGRA/MobileNet.py:399
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
SAFN/MobileNet.py:399
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
LPL/MobileNet.py:182
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
SWD/MobileNet.py:182
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
ICID/MobileNet.py:204
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
DETN/MobileNet.py:182
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
CADA/MobileNet.py:399
↓ 2 callersFunctionMobileNetV2
Constructs a MobileNetV2 model.
DFA/MobileNet.py:269
↓ 2 callersFunctionSet_Optimizer
Set Optimizer.
ECAN/Utils.py:72
↓ 2 callersFunctionSet_Optimizer
Set Optimizer.
DETN/Utils.py:72
↓ 2 callersFunctionSet_Param_Optim
Set Parameters for optimization.
ECAN/Utils.py:64
↓ 2 callersFunctionSet_Param_Optim
Set Parameters for optimization.
DETN/Utils.py:64
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
ECAN/VGG.py:126
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
FTDNN/VGG.py:126
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
AGRA/VGG.py:324
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
SAFN/VGG.py:324
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
LPL/VGG.py:126
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
SWD/VGG.py:126
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
ICID/VGG.py:148
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
DETN/VGG.py:126
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
CADA/VGG.py:324
↓ 2 callersFunctionVGG
Constructs a vgg-16 model.
DFA/VGG.py:126
↓ 2 callersFunctionVisualization
Feature Visualization in Source/Target Domain.
SAFN/Utils.py:1214
↓ 2 callersFunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
SAFN/Utils.py:1274
↓ 2 callersMethod__init__
(self, inverted_residual_setting=None, block=None)
ECAN/MobileNet.py:43
↓ 2 callersMethod__init__
(self, inverted_residual_setting=None, block=None)
FTDNN/MobileNet.py:43
↓ 2 callersMethod__init__
(self, num_features, momentum=0.1, track_running_stats=True)
AGRA/Model.py:8
↓ 2 callersMethod__init__
(self, dim_in, dim_hid, dim_out, link1=0.8, link2=0.5, link3=0.9, link4=0.4, link5=0.25, mask=None)
AGRA/GraphConvolutionNetwork.py:68
↓ 2 callersMethod__init__
(self, num_features, momentum=0.1, track_running_stats=True)
SAFN/Model.py:8
↓ 2 callersMethod__init__
(self, dim_in, dim_hid, dim_out, link1=0.8, link2=0.5, link3=0.9, link4=0.4, link5=0.25, mask=None)
SAFN/GraphConvolutionNetwork.py:68
↓ 2 callersMethod__init__
(self, inverted_residual_setting=None, block=None)
LPL/MobileNet.py:43
↓ 2 callersMethod__init__
(self, inverted_residual_setting=None, block=None)
SWD/MobileNet.py:43
↓ 2 callersMethod__init__
(self, inverted_residual_setting=None, block=None)
ICID/MobileNet.py:43
↓ 2 callersMethod__init__
(self, inverted_residual_setting=None, block=None)
DETN/MobileNet.py:43
↓ 2 callersMethod__init__
(self, num_features, momentum=0.1, track_running_stats=True)
CADA/Model.py:8
↓ 2 callersMethod__init__
(self, dim_in, dim_hid, dim_out, link1=0.8, link2=0.5, link3=0.9, link4=0.4, link5=0.25, mask=None)
CADA/GraphConvolutionNetwork.py:68
↓ 2 callersMethod__init__
(self, inverted_residual_setting=None, block=None)
DFA/MobileNet.py:43
↓ 2 callersFunctioncalc_coeff
(iter_num, high=1.0, low=0.0, alpha=10.0, max_iter=10000.0)
AGRA/AdversarialNetwork.py:360
↓ 2 callersFunctioncalc_coeff
(iter_num, high=1.0, low=0.0, alpha=10.0, max_iter=10000.0)
CADA/AdversarialNetwork.py:360
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
AGRA/VGG.py:188
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
AGRA/ResNet.py:329
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
AGRA/MobileNet.py:244
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
SAFN/VGG.py:188
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
SAFN/ResNet.py:329
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
SAFN/MobileNet.py:244
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
CADA/VGG.py:188
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
CADA/ResNet.py:329
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
CADA/MobileNet.py:244
↓ 2 callersMethodcrop_featureMap
(self, featureMap, locations)
DFA/MobileNet.py:218
↓ 2 callersMethodfindClusterIndex
(self, input)
ECAN/ResNet.py:282
↓ 2 callersMethodfindClusterIndex
(self, input)
AGRA/Model.py:149
↓ 2 callersMethodfindClusterIndex
(self, input)
SAFN/Model.py:149
↓ 2 callersMethodfindClusterIndex
(self, input)
DETN/ResNet.py:282
↓ 2 callersMethodfindClusterIndex
(self, input)
CADA/Model.py:149
↓ 2 callersMethodforward
(self, input)
AGRA/ResNet.py:15
↓ 2 callersMethodforward
(self, input)
CADA/ResNet.py:15
↓ 2 callersFunctionget_blocks
(num_layers)
ECAN/ResNet.py:96
↓ 2 callersFunctionget_blocks
(num_layers)
AGRA/ResNet.py:99
↓ 2 callersFunctionget_blocks
(num_layers)
SAFN/ResNet.py:99
↓ 2 callersFunctionget_blocks
(num_layers)
DETN/ResNet.py:96
↓ 2 callersFunctionget_blocks
(num_layers)
CADA/ResNet.py:99
↓ 2 callersMethodget_parameters
(self)
ECAN/VGG.py:63
↓ 2 callersMethodget_parameters
(self)
FTDNN/VGG.py:63
↓ 2 callersMethodget_parameters
(self)
AGRA/ResNet.py:313
↓ 2 callersMethodget_parameters
(self)
SAFN/ResNet.py:313
↓ 2 callersMethodget_parameters
(self)
LPL/VGG.py:63
↓ 2 callersMethodget_parameters
(self)
SWD/VGG.py:63
↓ 2 callersMethodget_parameters
(self)
ICID/VGG.py:82
↓ 2 callersMethodget_parameters
(self)
DETN/VGG.py:63
↓ 2 callersMethodget_parameters
(self)
CADA/ResNet.py:313
↓ 2 callersMethodget_parameters
(self)
DFA/VGG.py:63
↓ 2 callersFunctionlr_scheduler_withoutDecay
Learning rate without Decay.
ECAN/Utils.py:96
↓ 2 callersFunctionlr_scheduler_withoutDecay
Learning rate without Decay.
DETN/Utils.py:96
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