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

⨍ Functions 918◇ Types & classes 182
↓ 288 callersMethodcuda
(self)
AGRA/AdversarialNetwork.py:36
↓ 69 callersMethodcuda
(self)
SAFN/AdversarialNetwork.py:36
↓ 56 callersMethodcuda
(self)
CADA/AdversarialNetwork.py:36
↓ 36 callersMethodupdate
(self, val, count=1)
AGRA/Utils.py:47
↓ 36 callersMethodupdate
(self, val, count=1)
CADA/Utils.py:47
↓ 32 callersMethodupdate
(self, val, count=1)
ECAN/Utils.py:44
↓ 32 callersMethodupdate
(self, val, count=1)
DETN/Utils.py:44
↓ 24 callersMethodinit
(self, static_mean)
DETN/ResNet.py:168
↓ 23 callersMethodupdate
(self, val, count=1)
SAFN/Utils.py:47
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
ECAN/ResNet.py:92
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
FTDNN/ResNet.py:17
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
AGRA/ResNet.py:95
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
SAFN/ResNet.py:95
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
LPL/ResNet.py:17
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
SWD/ResNet.py:17
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
ICID/ResNet.py:17
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
DETN/ResNet.py:92
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
CADA/ResNet.py:95
↓ 18 callersFunctionget_block
(in_channel, depth, num_units, stride=2)
DFA/ResNet.py:17
↓ 17 callersMethodupdate
(self, val, count=1)
LPL/Utils.py:44
↓ 17 callersMethodupdate
(self, val, count=1)
ICID/Utils.py:44
↓ 17 callersMethodupdate
(self, val, count=1)
DFA/Utils.py:44
↓ 16 callersMethodupdate
(self, val, count=1)
FTDNN/Utils.py:44
↓ 15 callersMethodgetSample
(self, input)
AGRA/Model.py:38
↓ 15 callersMethodgetSample
(self, input)
SAFN/Model.py:38
↓ 15 callersMethodgetSample
(self, input)
CADA/Model.py:38
↓ 14 callersFunctionBulidDataloader
Bulid data loader.
AGRA/Utils.py:196
↓ 14 callersFunctionBulidDataloader
Bulid data loader.
CADA/Utils.py:196
↓ 13 callersFunctionBulidDataloader
Bulid data loader.
ECAN/Utils.py:164
↓ 13 callersFunctionBulidDataloader
Bulid data loader.
DETN/Utils.py:164
↓ 13 callersMethodupdate
(self, val, count=1)
SWD/Utils.py:44
↓ 12 callersMethodinit
(self, static_mean)
ECAN/ResNet.py:168
↓ 12 callersMethodinit
(self, static_mean)
AGRA/Model.py:35
↓ 12 callersMethodinit
(self, static_mean)
SAFN/Model.py:35
↓ 12 callersMethodinit
(self, static_mean)
CADA/Model.py:35
↓ 10 callersFunctionBulidDataloader
Bulid data loader.
SAFN/Utils.py:196
↓ 10 callersFunctionBulidDataloader
Bulid data loader.
DFA/Utils.py:163
↓ 8 callersMethod__init__
(self, local_size=1, alpha=1.0, beta=0.75, ACROSS_CHANNELS=True)
AGRA/AdversarialNetwork.py:41
↓ 8 callersMethod__init__
(self, local_size=1, alpha=1.0, beta=0.75, ACROSS_CHANNELS=True)
SAFN/AdversarialNetwork.py:41
↓ 8 callersMethod__init__
(self, local_size=1, alpha=1.0, beta=0.75, ACROSS_CHANNELS=True)
CADA/AdversarialNetwork.py:41
↓ 7 callersMethod__init__
(self, channels, reduction)
ECAN/ResNet.py:22
↓ 7 callersMethod__init__
(self, channels, reduction)
DETN/ResNet.py:22
↓ 6 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
ECAN/Utils.py:113
↓ 6 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
AGRA/Utils.py:116
↓ 6 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
DETN/Utils.py:113
↓ 6 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
CADA/Utils.py:116
↓ 6 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
ECAN/Utils.py:1020
↓ 6 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
AGRA/Utils.py:1025
↓ 6 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
DETN/Utils.py:1020
↓ 6 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
CADA/Utils.py:1025
↓ 6 callersFunctionk
(x, y, sigma=1)
ECAN/Loss.py:102
↓ 6 callersFunctionk
(x, y, sigma=1)
DETN/Loss.py:102
↓ 5 callersFunctionBulidDataloader
Bulid data loader.
SWD/Utils.py:163
↓ 4 callersFunctionHAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
AGRA/Loss.py:74
↓ 4 callersFunctionHAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
CADA/Loss.py:74
↓ 4 callersFunctionInitialize_Mean_Cluster
(args, model, useClassify=True)
AGRA/Utils.py:1162
↓ 4 callersFunctionInitialize_Mean_Cluster
(args, model, useClassify=True)
CADA/Utils.py:1162
↓ 4 callersFunctionSAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
AGRA/Loss.py:83
↓ 4 callersFunctionSAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
CADA/Loss.py:83
↓ 4 callersFunctionVisualization
Feature Visualization in Source/Target Domain.
AGRA/Utils.py:1214
↓ 4 callersFunctionVisualization
Feature Visualization in Source/Target Domain.
CADA/Utils.py:1214
↓ 4 callersFunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
AGRA/Utils.py:1274
↓ 4 callersFunctionVisualizationForTwoDomain
Feature Visualization in Source and Target Domain.
CADA/Utils.py:1274
↓ 4 callersMethod__init__
(self, channels, reduction)
AGRA/ResNet.py:25
↓ 4 callersMethod__init__
(self, channels, reduction)
SAFN/ResNet.py:25
↓ 4 callersMethod__init__
(self, channels, reduction)
CADA/ResNet.py:25
↓ 4 callersMethodgetSample
(self, input)
DETN/ResNet.py:171
↓ 3 callersFunctionBulidDataloader
Bulid data loader.
FTDNN/Utils.py:163
↓ 3 callersFunctionBulidDataloader
Bulid data loader.
LPL/Utils.py:163
↓ 3 callersFunctionBulidDataloader
Bulid data loader.
ICID/Utils.py:164
↓ 3 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
FTDNN/Utils.py:113
↓ 3 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
SAFN/Utils.py:116
↓ 3 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
LPL/Utils.py:113
↓ 3 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
SWD/Utils.py:113
↓ 3 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
ICID/Utils.py:113
↓ 3 callersFunctionCompute_Accuracy
Compute the accuracy of all samples, the accuracy of positive samples, the recall of positive samples.
DFA/Utils.py:113
↓ 3 callersFunctionHAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
SAFN/Loss.py:74
↓ 3 callersFunctionIR
Constructs a ir-50 model.
ECAN/ResNet.py:473
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
FTDNN/ResNet.py:265
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
AGRA/ResNet.py:459
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
SAFN/ResNet.py:459
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
LPL/ResNet.py:265
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
SWD/ResNet.py:265
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
ICID/ResNet.py:285
↓ 3 callersFunctionIR
Constructs a ir-50 model.
DETN/ResNet.py:473
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
CADA/ResNet.py:459
↓ 3 callersFunctionIR
Constructs a ir-18/ir-50 model.
DFA/ResNet.py:265
↓ 3 callersFunctionSAFN
Paper Link : https://arxiv.org/pdf/1811.07456.pdf Github Link : https://github.com/jihanyang/AFN
SAFN/Loss.py:83
↓ 3 callersFunctionSet_Optimizer
Set Optimizer.
AGRA/Utils.py:75
↓ 3 callersFunctionSet_Optimizer
Set Optimizer.
CADA/Utils.py:75
↓ 3 callersFunctionSet_Param_Optim
Set Parameters for optimization.
AGRA/Utils.py:67
↓ 3 callersFunctionSet_Param_Optim
Set Parameters for optimization.
CADA/Utils.py:67
↓ 3 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
FTDNN/Utils.py:1020
↓ 3 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
SAFN/Utils.py:1025
↓ 3 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
LPL/Utils.py:1019
↓ 3 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
SWD/Utils.py:1019
↓ 3 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
ICID/Utils.py:1020
↓ 3 callersFunctionShow_Accuracy
Compute average of accuaracy/precision/recall/f1
DFA/Utils.py:1019
↓ 3 callersMethod__init__
(self, channels, reduction)
FTDNN/ResNet.py:70
↓ 3 callersMethod__init__
(self, in_planes, out_planes, kernel_size=3, stride=1, groups=1)
AGRA/MobileNet.py:9
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