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Types & classes94 in github.com/TPCD/DCCL

↓ 24 callersClassCustomCIFAR100
data/cifar.py:28
↓ 18 callersClassvit_branch
model/attribute_transformer.py:70
↓ 14 callersClassvit_backbone
model/attribute_transformer.py:12
↓ 9 callersClassFeatureVectorDataset
methods/clustering/feature_vector_dataset.py:10
↓ 8 callersClassattribute_subnet
model/attribute_transformer.py:457
↓ 7 callersClassAverageMeter
Computes and stores the average and current value
project_utils/cluster_utils.py:118
↓ 7 callersClassMergedDataset
Takes two datasets (labelled_dataset, unlabelled_dataset) and merges them Allows you to iterate over them in parallel
data/data_utils.py:13
↓ 6 callersClassTimer
project_utils/infomap_cluster_utils.py:21
↓ 4 callersClassAverageMeter
Computes and stores the average and current value
project_utils/general_utils.py:12
↓ 4 callersClassCarsDataset
Cars Dataset
data/stanford_cars.py:16
↓ 4 callersClassChannelAvgPoolFlat
model/attribute_transformer.py:161
↓ 4 callersClassCustomCIFAR10
data/cifar.py:9
↓ 4 callersClassCustomCub2011
data/cub.py:14
↓ 4 callersClassFGVCAircraft
`FGVC-Aircraft <http://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft>`_ Dataset. Args: root (string): Root directory path to dataset.
data/fgvc_aircraft.py:43
↓ 4 callersClassFlowers102
`Oxford 102 Flower <https://www.robots.ox.ac.uk/~vgg/data/flowers/102/>`_ Dataset. .. warning:: This class needs `scipy <https://docs.sc
data/flower.py:32
↓ 4 callersClassOxfordIIITPet
`Oxford-IIIT Pet Dataset <https://www.robots.ox.ac.uk/~vgg/data/pets/>`_. Args: root (string): Root directory of the dataset. s
data/pets.py:30
↓ 3 callersClassGraphConvolution
model/meta_graph.py:16
↓ 3 callersClassVisionTransformer
Vision Transformer
model/vision_transformer.py:135
↓ 2 callersClassAttributeTransformer
model/attribute_transformer.py:87
↓ 2 callersClassAttributeTransformer10
model/attribute_transformer.py:575
↓ 2 callersClassAttributeTransformer11
model/attribute_transformer.py:620
↓ 2 callersClassAttributeTransformer12
model/attribute_transformer.py:664
↓ 2 callersClassAttributeTransformer13
model/attribute_transformer.py:705
↓ 2 callersClassAttributeTransformer14
model/attribute_transformer.py:734
↓ 2 callersClassAttributeTransformer2
model/attribute_transformer.py:200
↓ 2 callersClassAttributeTransformer4
model/attribute_transformer.py:268
↓ 2 callersClassAttributeTransformer5
model/attribute_transformer.py:310
↓ 2 callersClassAttributeTransformer6
model/attribute_transformer.py:356
↓ 2 callersClassAttributeTransformer7
model/attribute_transformer.py:407
↓ 2 callersClassAttributeTransformer8
model/attribute_transformer.py:480
↓ 2 callersClassAttributeTransformer9
model/attribute_transformer.py:528
↓ 2 callersClassBNClassifier
bn + fc
model/vision_transformer.py:650
↓ 2 callersClassClusterMemory
project_utils/cluster_memory_utils.py:84
↓ 2 callersClassFakeLabelDataset
project_utils/data_utils.py:46
↓ 2 callersClassFood101
`The Food-101 Data Set <https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/>`_. The Food-101 is a challenging data set of 101 food catego
data/food.py:31
↓ 2 callersClassHerbariumDataset19
data/herbarium_19.py:10
↓ 2 callersClassImageNetBase
data/imagenet.py:11
↓ 2 callersClassIterLoader
project_utils/data_utils.py:17
↓ 2 callersClassMeta_Attribute_Generator1
model/attribute_transformer.py:844
↓ 2 callersClassMeta_Attribute_Generator2
model/attribute_transformer.py:881
↓ 2 callersClassRandomMultipleGallerySamplerNoCam
project_utils/sampler.py:109
↓ 1 callersClassAttention
model/vision_transformer.py:67
↓ 1 callersClassAttributeTransformer3
model/attribute_transformer.py:234
↓ 1 callersClassBlock
model/vision_transformer.py:94
↓ 1 callersClassChannelMaxPoolFlat
model/attribute_transformer.py:118
↓ 1 callersClassContrastiveLearningViewGenerator
Take two random crops of one image as the query and key.
project_utils/contrastive_utils.py:155
↓ 1 callersClassContrastiveLearningViewGenerator
Take two random crops of one image as the query and key.
methods/representation_learning/representation_learning.py:126
↓ 1 callersClassContrastiveLearningViewGenerator
Take two random crops of one image as the query and key.
methods/partitioning/subset_len.py:31
↓ 1 callersClassContrastiveLearningViewGenerator
Take two random crops of one image as the query and key.
methods/partitioning/kmeans_subset.py:32
↓ 1 callersClassCosineAnnealingWarmupRestarts_New
project_utils/schedulers.py:86
↓ 1 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
model/vision_transformer.py:37
↓ 1 callersClassIndicatePlateau
project_utils/general_utils.py:304
↓ 1 callersClassK_Means
methods/clustering/faster_mix_k_means_pytorch.py:47
↓ 1 callersClassLogger
project_utils/cluster_and_log_utils.py:121
↓ 1 callersClassMeta_Graph1
model/attribute_transformer.py:783
↓ 1 callersClassMlp
model/vision_transformer.py:48
↓ 1 callersClassPatchEmbed
Image to Patch Embedding
model/vision_transformer.py:117
↓ 1 callersClassRandAugment
data/augmentations/randaugment.py:275
↓ 1 callersClassSupConLoss
Supervised Contrastive Learning: https://arxiv.org/pdf/2004.11362.pdf. It also supports the unsupervised contrastive loss in SimCLR From: http
project_utils/contrastive_utils.py:166
↓ 1 callersClassSupConLoss
Supervised Contrastive Learning: https://arxiv.org/pdf/2004.11362.pdf. It also supports the unsupervised contrastive loss in SimCLR From: http
methods/representation_learning/representation_learning.py:35
↓ 1 callersClassWarmRestartPlateau
Reduce learning rate on plateau and reset every T_restart epochs
project_utils/schedulers.py:61
↓ 1 callersClassknn_faiss
内积暴力循环 归一化特征的内积等价于余弦相似度
project_utils/infomap_cluster_utils.py:413
ClassAttribute_BN_Classifier
model/vision_transformer.py:547
ClassAttribute_Classifier
model/attribute_classifier.py:8
ClassAttribute_Classifier
model/vision_transformer.py:330
ClassAttribute_Classifier2
model/vision_transformer.py:408
ClassAttribute_Classifier3
model/vision_transformer.py:470
ClassAttribute_Classifier5
model/vision_transformer.py:674
ClassAttribute_Classifier6ind
model/vision_transformer.py:749
ClassAttribute_Classifier7ind
model/vision_transformer.py:780
ClassAttribute_Classifier8ind
model/vision_transformer.py:815
ClassBCE
project_utils/cluster_utils.py:143
ClassBaseVisdomLogger
The base class for logging output to Visdom. ***THIS CLASS IS ABSTRACT AND MUST BE SUBCLASSED*** Note that the Visdom serve
project_utils/visualization_utils.py:843
ClassCM
project_utils/cluster_memory_utils.py:9
ClassCM_Hard
project_utils/cluster_memory_utils.py:42
ClassClassificationPredSaver
project_utils/general_utils.py:210
ClassCutoutDefault
Reference : https://github.com/quark0/darts/blob/master/cnn/utils.py
data/augmentations/randaugment.py:250
ClassDINOHead
model/attribute_classifier.py:84
ClassDINOHead
model/vision_transformer.py:264
ClassIdentity
project_utils/cluster_utils.py:136
ClassLighting
Lighting noise(AlexNet - style PCA - based noise)
data/augmentations/randaugment.py:229
ClassLogger
project_utils/visualization_utils.py:829
ClassMetaGraph_fd
model/meta_graph.py:55
ClassMetaGraph_fd_bn
model/meta_graph.py:133
ClassMlp
model/attribute_classifier.py:64
ClassRandomIdentitySampler
project_utils/sampler.py:19
ClassRandomMultipleGallerySampler
project_utils/sampler.py:46
ClassTextColors
project_utils/infomap_cluster_utils.py:10
ClassVisdomFeatureMapsLogger
A generic Visdom class that works with the majority of Visdom plot types.
project_utils/visualization_utils.py:945
ClassVisdomLogger
A generic Visdom class that works with the majority of Visdom plot types.
project_utils/visualization_utils.py:912
ClassVisdomPlotLogger
project_utils/visualization_utils.py:1001
ClassVisdomSaver
Serialize the state of the Visdom server to disk. Unless you have a fancy schedule, where different are saved with different frequencies,
project_utils/visualization_utils.py:897
ClassVisdomTextLogger
Creates a text window in visdom and logs output to it. The output can be formatted with fancy HTML, and it new output can be set to 'append'
project_utils/visualization_utils.py:1056
ClassVisionTransformerWithLinear
model/vision_transformer.py:301