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

⨍ Functions 918◇ Types & classes 182
FunctionEntropy
(input_)
DFA/Loss.py:8
FunctionHAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
ECAN/Loss.py:74
FunctionHAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
DETN/Loss.py:74
FunctionHAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
DFA/Loss.py:74
FunctionIR_onlyGlobal
Constructs a ir-50 model.
ECAN/ResNet.py:480
FunctionIR_onlyGlobal
Constructs a ir-50 model.
DETN/ResNet.py:480
FunctionInitialize_Mean
(args, model, useClassify=True)
ECAN/Utils.py:1067
FunctionInitialize_Mean
(args, model, useClassify=True)
DETN/Utils.py:1067
FunctionInitialize_Mean
(args, model, useClassify=True)
DFA/Utils.py:1066
FunctionInitialize_Mean_Cluster
(args, model, useClassify=True)
ECAN/Utils.py:1157
FunctionInitialize_Mean_Cluster
(args, model, useClassify=True)
DETN/Utils.py:1157
FunctionInitialize_Mean_Cluster
(args, model, useClassify=True)
DFA/Utils.py:1156
FunctionInitialize_Mean_Cov
(args, model, useClassify=True)
ECAN/Utils.py:1110
FunctionInitialize_Mean_Cov
(args, model, useClassify=True)
DETN/Utils.py:1110
FunctionInitialize_Mean_Cov
(args, model, useClassify=True)
DFA/Utils.py:1109
FunctionLP_Loss
Paper Link : http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Reliable_Crowdsourcing_and_CVPR_2017_paper.pdf
FTDNN/Loss.py:20
FunctionLP_Loss
Paper Link : http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Reliable_Crowdsourcing_and_CVPR_2017_paper.pdf
ICID/Loss.py:20
FunctionL_loader
(path)
ECAN/Dataset.py:10
FunctionL_loader
(path)
FTDNN/Dataset.py:68
FunctionL_loader
(path)
AGRA/Dataset.py:10
FunctionL_loader
(path)
SAFN/Dataset.py:10
FunctionL_loader
(path)
LPL/Dataset.py:10
FunctionL_loader
(path)
SWD/Dataset.py:10
FunctionL_loader
(path)
ICID/Dataset.py:10
FunctionL_loader
(path)
DETN/Dataset.py:10
FunctionL_loader
(path)
CADA/Dataset.py:10
FunctionL_loader
(path)
DFA/Dataset.py:10
FunctionRGB_loader
(path)
ECAN/Dataset.py:13
FunctionRGB_loader
(path)
FTDNN/Dataset.py:71
FunctionRGB_loader
(path)
AGRA/Dataset.py:13
FunctionRGB_loader
(path)
SAFN/Dataset.py:13
FunctionRGB_loader
(path)
LPL/Dataset.py:13
FunctionRGB_loader
(path)
SWD/Dataset.py:13
FunctionRGB_loader
(path)
ICID/Dataset.py:13
FunctionRGB_loader
(path)
DETN/Dataset.py:13
FunctionRGB_loader
(path)
CADA/Dataset.py:13
FunctionRGB_loader
(path)
DFA/Dataset.py:13
FunctionSAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
ECAN/Loss.py:83
FunctionSAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
DETN/Loss.py:83
FunctionSAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
DFA/Loss.py:83
FunctionVisualization
Feature Visualization in Source/Target Domain.
ECAN/Utils.py:1209
FunctionVisualization
Feature Visualization in Source/Target Domain.
FTDNN/Utils.py:1067
FunctionVisualization
Feature Visualization in Source/Target Domain.
LPL/Utils.py:1066
FunctionVisualization
Feature Visualization in Source/Target Domain.
SWD/Utils.py:1066
FunctionVisualization
Feature Visualization in Source/Target Domain.
ICID/Utils.py:1067
FunctionVisualization
Feature Visualization in Source/Target Domain.
DETN/Utils.py:1209
FunctionVisualization
Feature Visualization in Source/Target Domain.
DFA/Utils.py:1208
FunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
ECAN/Utils.py:1253
FunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
FTDNN/Utils.py:1111
FunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
LPL/Utils.py:1110
FunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
SWD/Utils.py:1110
FunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
ICID/Utils.py:1111
FunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
DETN/Utils.py:1253
FunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
DFA/Utils.py:1252
Method__getitem__
(self, index)
ECAN/Dataset.py:27
Method__getitem__
(self, index)
FTDNN/Dataset.py:85
Method__getitem__
(self, index)
AGRA/Dataset.py:27
Method__getitem__
(self, index)
SAFN/Dataset.py:27
Method__getitem__
(self, index)
LPL/Dataset.py:27
Method__getitem__
(self, index)
SWD/Dataset.py:27
Method__getitem__
(self, index)
ICID/Dataset.py:27
Method__getitem__
(self, index)
DETN/Dataset.py:27
Method__getitem__
(self, index)
CADA/Dataset.py:27
Method__getitem__
(self, index)
DFA/Dataset.py:27
Method__init__
(self)
ECAN/VGG.py:6
Method__init__
(self)
ECAN/Utils.py:35
Method__init__
(self, in_channel, depth, stride)
ECAN/ResNet.py:47
Method__init__
(self, in_channel, depth, stride)
ECAN/ResNet.py:66
Method__init__
(self, num_features, momentum=0.1, track_running_stats=True)
ECAN/ResNet.py:141
Method__init__
(self, num_features, momentum=0.1, track_running_stats=True)
ECAN/ResNet.py:175
Method__init__
(self, num_features, class_num=7, momentum=0.1, track_running_stats=True)
ECAN/ResNet.py:232
Method__init__
(self, numOfLayer)
ECAN/ResNet.py:295
Method__init__
(self, numOfLayer)
ECAN/ResNet.py:420
Method__init__
(self, imgs, labels, bboxs, landmarks, flag, transform=None, target_transform=None, loader=RGB_loader)
ECAN/Dataset.py:17
Method__init__
(self, in_planes, out_planes, kernel_size=3, stride=1, groups=1)
ECAN/MobileNet.py:6
Method__init__
(self, inp, oup, stride, expand_ratio)
ECAN/MobileNet.py:15
Method__init__
(self)
FTDNN/VGG.py:6
Method__init__
(self)
FTDNN/Utils.py:35
Method__init__
(self, in_channel, depth, stride)
FTDNN/ResNet.py:95
Method__init__
(self, in_channel, depth, stride)
FTDNN/ResNet.py:114
Method__init__
(self, numOfLayer)
FTDNN/ResNet.py:141
Method__init__
(self, imgs, labels, bboxs, landmarks, flag, transform=None, target_transform=None, loader=RGB_loader)
FTDNN/Dataset.py:75
Method__init__
(self, in_planes, out_planes, kernel_size=3, stride=1, groups=1)
FTDNN/MobileNet.py:6
Method__init__
(self, inp, oup, stride, expand_ratio)
FTDNN/MobileNet.py:15
Method__init__
(self, num_features, momentum=0.1, track_running_stats=True)
AGRA/Model.py:42
Method__init__
(self, num_features, class_num=7, momentum=0.1, track_running_stats=True)
AGRA/Model.py:99
Method__init__
(self, in_features, out_features, bias=True)
AGRA/GraphConvolutionNetwork.py:26
Method__init__
(self, dim_in, dim_hid, dim_out, Link1=0.8, Link2=0.5, Link3=0.9, Link4=0.4, Link5=0.25,
AGRA/GraphConvolutionNetwork.py:164
Method__init__
(self)
AGRA/VGG.py:241
Method__init__
(self, input_dim_list=[], output_dim=1024)
AGRA/AdversarialNetwork.py:23
Method__init__
(self, num_classes=1000)
AGRA/AdversarialNetwork.py:69
Method__init__
(self, use_bottleneck=True, bottleneck_dim=256, new_cls=False, class_num=1000)
AGRA/AdversarialNetwork.py:120
Method__init__
(self, resnet_name, use_bottleneck=True, bottleneck_dim=256, new_cls=False, class_num=1000)
AGRA/AdversarialNetwork.py:176
Method__init__
(self, vgg_name, use_bottleneck=True, bottleneck_dim=256, new_cls=False, class_num=1000)
AGRA/AdversarialNetwork.py:235
Method__init__
(self)
AGRA/AdversarialNetwork.py:290
Method__init__
(self)
AGRA/AdversarialNetwork.py:328
Method__init__
(self, in_feature, hidden_size)
AGRA/AdversarialNetwork.py:364
Method__init__
(self)
AGRA/Utils.py:38
Method__init__
(self, in_channel, depth, stride)
AGRA/ResNet.py:50
Method__init__
(self, in_channel, depth, stride)
AGRA/ResNet.py:69
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