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Functions131 in github.com/ZjjConan/SimAM

⨍ Functions 131◇ Types & classes 31

networks/attentions/cbam_module.py:78

networks/attentions/cbam_module.py:96

networks/attentions/simam_module.py:21

networks/attentions/se_module.py:18

networks/cifar/block.py:56

networks/cifar/block.py:111

networks/cifar/block.py:157

networks/cifar/block.py:212

networks/cifar/block.py:249

networks/cifar/block.py:301

networks/cifar/preresnet.py:43

networks/cifar/mobilenetv2.py:40

networks/cifar/resnet.py:40

networks/cifar/wideresnet.py:17

networks/cifar/wideresnet.py:54

mmdetection/mmdet/models/backbones/resnet_simam.py:71

mmdetection/mmdet/models/backbones/resnet_simam.py:137

mmdetection/mmdet/models/backbones/resnet_simam.py:303

mmdetection/mmdet/models/backbones/attentions/simam_module.py:21

Methodget_module_name

networks/attentions/cbam_module.py:93

Methodget_module_name

networks/attentions/simam_module.py:18

Methodinit_weights

Initialize the weights in backbone. Args: pretrained (str, optional): Path to pre-trained weights. Defaults to No

mmdetection/mmdet/models/backbones/resnet_simam.py:274

Functionmobilenet_v2

Constructs a MobileNetV2 architecture from `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" <https://arxiv.org/abs/1801.04381>`_.

networks/imagenet/mobilenetv2.py:237

Functionresnet101

r"""ResNet-101 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (

networks/imagenet/resnet.py:339

Functionresnet152

r"""ResNet-152 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (

networks/imagenet/resnet.py:351

Functionresnet18

r"""ResNet-18 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b

networks/imagenet/resnet.py:302

Functionresnet34

r"""ResNet-34 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b

networks/imagenet/resnet.py:315

Functionresnet50

r"""ResNet-50 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b

networks/imagenet/resnet.py:327

Functionresnet50d

r"""ResNet-50 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b

networks/imagenet/resnet.py:388

Functionresnext101_64x4d

r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_. Args:

networks/imagenet/resnet.py:375

Functionresnext50_32x4d

r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_. Args:

networks/imagenet/resnet.py:363

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