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394 lines
10 KiB
394 lines
10 KiB
4 years ago
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# Summary
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**Residual Networks**, or **ResNets**, learn residual functions with reference to the layer inputs, instead of learning unreferenced functions. Instead of hoping each few stacked layers directly fit a desired underlying mapping, residual nets let these layers fit a residual mapping. They stack [residual blocks](https://paperswithcode.com/method/residual-block) ontop of each other to form network: e.g. a ResNet-50 has fifty layers using these blocks.
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The weights from this model were ported from Gluon.
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{% include 'code_snippets.md' %}
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## How do I train this model?
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You can follow the [timm recipe scripts](https://rwightman.github.io/pytorch-image-models/scripts/) for training a new model afresh.
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## Citation
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```BibTeX
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@article{DBLP:journals/corr/HeZRS15,
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author = {Kaiming He and
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Xiangyu Zhang and
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Shaoqing Ren and
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Jian Sun},
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title = {Deep Residual Learning for Image Recognition},
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journal = {CoRR},
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volume = {abs/1512.03385},
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year = {2015},
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url = {http://arxiv.org/abs/1512.03385},
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archivePrefix = {arXiv},
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eprint = {1512.03385},
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timestamp = {Wed, 17 Apr 2019 17:23:45 +0200},
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biburl = {https://dblp.org/rec/journals/corr/HeZRS15.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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<!--
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Models:
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- Name: gluon_resnet101_v1b
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Metadata:
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FLOPs: 10068547584
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Training Data:
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- ImageNet
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Architecture:
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- 1x1 Convolution
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- Batch Normalization
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- Bottleneck Residual Block
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- Convolution
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- Global Average Pooling
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- Max Pooling
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- ReLU
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- Residual Block
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- Residual Connection
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- Softmax
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File Size: 178723172
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Tasks:
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- Image Classification
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ID: gluon_resnet101_v1b
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Crop Pct: '0.875'
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Image Size: '224'
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Interpolation: bicubic
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Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L89
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In Collection: Gloun ResNet
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- Name: gluon_resnet101_v1s
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Metadata:
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FLOPs: 11805511680
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Training Data:
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- ImageNet
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Architecture:
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- 1x1 Convolution
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- Batch Normalization
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- Bottleneck Residual Block
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- Convolution
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- Global Average Pooling
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- Max Pooling
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- ReLU
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- Residual Block
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- Residual Connection
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- Softmax
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File Size: 179221777
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Tasks:
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- Image Classification
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ID: gluon_resnet101_v1s
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Crop Pct: '0.875'
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Image Size: '224'
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Interpolation: bicubic
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Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L166
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In Collection: Gloun ResNet
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- Name: gluon_resnet101_v1c
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Metadata:
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FLOPs: 10376567296
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Training Data:
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- ImageNet
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Architecture:
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- 1x1 Convolution
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- Batch Normalization
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- Bottleneck Residual Block
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- Convolution
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- Global Average Pooling
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- Max Pooling
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- ReLU
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- Residual Block
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- Residual Connection
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- Softmax
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File Size: 178802575
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Tasks:
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- Image Classification
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ID: gluon_resnet101_v1c
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Crop Pct: '0.875'
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Image Size: '224'
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Interpolation: bicubic
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Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L113
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In Collection: Gloun ResNet
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- Name: gluon_resnet152_v1c
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Metadata:
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FLOPs: 15165680128
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Training Data:
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- ImageNet
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Architecture:
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- 1x1 Convolution
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- Batch Normalization
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- Bottleneck Residual Block
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- Convolution
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- Global Average Pooling
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- Max Pooling
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- ReLU
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- Residual Block
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- Residual Connection
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- Softmax
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File Size: 241613404
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Tasks:
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- Image Classification
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ID: gluon_resnet152_v1c
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Crop Pct: '0.875'
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Image Size: '224'
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Interpolation: bicubic
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Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L121
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In Collection: Gloun ResNet
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- Name: gluon_resnet152_v1b
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Metadata:
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FLOPs: 14857660416
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Training Data:
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- ImageNet
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Architecture:
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- 1x1 Convolution
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- Batch Normalization
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- Bottleneck Residual Block
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- Convolution
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- Global Average Pooling
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- Max Pooling
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- ReLU
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- Residual Block
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- Residual Connection
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- Softmax
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|
File Size: 241534001
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|
|
Tasks:
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|
- Image Classification
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|
ID: gluon_resnet152_v1b
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Crop Pct: '0.875'
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Image Size: '224'
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Interpolation: bicubic
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Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L97
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In Collection: Gloun ResNet
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||
|
|
- Name: gluon_resnet101_v1d
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|
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Metadata:
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FLOPs: 10377018880
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Training Data:
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|
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- ImageNet
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|
Architecture:
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- 1x1 Convolution
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- Batch Normalization
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- Bottleneck Residual Block
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- Convolution
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- Global Average Pooling
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- Max Pooling
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- ReLU
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- Residual Block
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- Residual Connection
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- Softmax
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File Size: 178802755
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Tasks:
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- Image Classification
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ID: gluon_resnet101_v1d
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Crop Pct: '0.875'
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Image Size: '224'
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Interpolation: bicubic
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Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L138
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In Collection: Gloun ResNet
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|
|
- Name: gluon_resnet152_v1d
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|
|
Metadata:
|
||
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FLOPs: 15166131712
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||
|
|
Training Data:
|
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|
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- ImageNet
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|
|
Architecture:
|
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|
- 1x1 Convolution
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|
|
- Batch Normalization
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|
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- Bottleneck Residual Block
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|
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- Convolution
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- Global Average Pooling
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|
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- Max Pooling
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||
|
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- ReLU
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|
|
- Residual Block
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||
|
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- Residual Connection
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||
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- Softmax
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|
|
File Size: 241613584
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||
|
|
Tasks:
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||
|
|
- Image Classification
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|
|
ID: gluon_resnet152_v1d
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||
|
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Crop Pct: '0.875'
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Image Size: '224'
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|
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Interpolation: bicubic
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Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L147
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|
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In Collection: Gloun ResNet
|
||
|
|
- Name: gluon_resnet152_v1s
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||
|
|
Metadata:
|
||
|
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FLOPs: 16594624512
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||
|
|
Training Data:
|
||
|
|
- ImageNet
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|
|
Architecture:
|
||
|
|
- 1x1 Convolution
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|
|
- Batch Normalization
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|
|
- Bottleneck Residual Block
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||
|
|
- Convolution
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||
|
|
- Global Average Pooling
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||
|
|
- Max Pooling
|
||
|
|
- ReLU
|
||
|
|
- Residual Block
|
||
|
|
- Residual Connection
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||
|
|
- Softmax
|
||
|
|
File Size: 242032606
|
||
|
|
Tasks:
|
||
|
|
- Image Classification
|
||
|
|
ID: gluon_resnet152_v1s
|
||
|
|
Crop Pct: '0.875'
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|
|
Image Size: '224'
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||
|
|
Interpolation: bicubic
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|
|
Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L175
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|
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In Collection: Gloun ResNet
|
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|
|
- Name: gluon_resnet50_v1b
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|
|
Metadata:
|
||
|
|
FLOPs: 5282531328
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||
|
|
Training Data:
|
||
|
|
- ImageNet
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|
|
Architecture:
|
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|
|
- 1x1 Convolution
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|
|
- Batch Normalization
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|
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- Bottleneck Residual Block
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||
|
|
- Convolution
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|
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- Global Average Pooling
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|
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- Max Pooling
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|
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- ReLU
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- Residual Block
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- Residual Connection
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- Softmax
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|
File Size: 102493763
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Tasks:
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||
|
|
- Image Classification
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|
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ID: gluon_resnet50_v1b
|
||
|
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Crop Pct: '0.875'
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||
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Image Size: '224'
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||
|
|
Interpolation: bicubic
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||
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|
Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L81
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In Collection: Gloun ResNet
|
||
|
|
- Name: gluon_resnet18_v1b
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|
|
Metadata:
|
||
|
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FLOPs: 2337073152
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|
|
Training Data:
|
||
|
|
- ImageNet
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|
|
Architecture:
|
||
|
|
- 1x1 Convolution
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|
|
- Batch Normalization
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|
|
- Bottleneck Residual Block
|
||
|
|
- Convolution
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||
|
|
- Global Average Pooling
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||
|
|
- Max Pooling
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||
|
|
- ReLU
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|
|
- Residual Block
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||
|
|
- Residual Connection
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||
|
|
- Softmax
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||
|
|
File Size: 46816736
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||
|
|
Tasks:
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||
|
|
- Image Classification
|
||
|
|
ID: gluon_resnet18_v1b
|
||
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Crop Pct: '0.875'
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|
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Image Size: '224'
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||
|
|
Interpolation: bicubic
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||
|
|
Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L65
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|
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In Collection: Gloun ResNet
|
||
|
|
- Name: gluon_resnet34_v1b
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|
|
Metadata:
|
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|
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FLOPs: 4718469120
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|
|
Training Data:
|
||
|
|
- ImageNet
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|
|
Architecture:
|
||
|
|
- 1x1 Convolution
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||
|
|
- Batch Normalization
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||
|
|
- Bottleneck Residual Block
|
||
|
|
- Convolution
|
||
|
|
- Global Average Pooling
|
||
|
|
- Max Pooling
|
||
|
|
- ReLU
|
||
|
|
- Residual Block
|
||
|
|
- Residual Connection
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||
|
|
- Softmax
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||
|
|
File Size: 87295112
|
||
|
|
Tasks:
|
||
|
|
- Image Classification
|
||
|
|
ID: gluon_resnet34_v1b
|
||
|
|
Crop Pct: '0.875'
|
||
|
|
Image Size: '224'
|
||
|
|
Interpolation: bicubic
|
||
|
|
Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L73
|
||
|
|
In Collection: Gloun ResNet
|
||
|
|
- Name: gluon_resnet50_v1c
|
||
|
|
Metadata:
|
||
|
|
FLOPs: 5590551040
|
||
|
|
Training Data:
|
||
|
|
- ImageNet
|
||
|
|
Architecture:
|
||
|
|
- 1x1 Convolution
|
||
|
|
- Batch Normalization
|
||
|
|
- Bottleneck Residual Block
|
||
|
|
- Convolution
|
||
|
|
- Global Average Pooling
|
||
|
|
- Max Pooling
|
||
|
|
- ReLU
|
||
|
|
- Residual Block
|
||
|
|
- Residual Connection
|
||
|
|
- Softmax
|
||
|
|
File Size: 102573166
|
||
|
|
Tasks:
|
||
|
|
- Image Classification
|
||
|
|
ID: gluon_resnet50_v1c
|
||
|
|
Crop Pct: '0.875'
|
||
|
|
Image Size: '224'
|
||
|
|
Interpolation: bicubic
|
||
|
|
Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L105
|
||
|
|
In Collection: Gloun ResNet
|
||
|
|
- Name: gluon_resnet50_v1d
|
||
|
|
Metadata:
|
||
|
|
FLOPs: 5591002624
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||
|
|
Training Data:
|
||
|
|
- ImageNet
|
||
|
|
Architecture:
|
||
|
|
- 1x1 Convolution
|
||
|
|
- Batch Normalization
|
||
|
|
- Bottleneck Residual Block
|
||
|
|
- Convolution
|
||
|
|
- Global Average Pooling
|
||
|
|
- Max Pooling
|
||
|
|
- ReLU
|
||
|
|
- Residual Block
|
||
|
|
- Residual Connection
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||
|
|
- Softmax
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||
|
|
File Size: 102573346
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||
|
|
Tasks:
|
||
|
|
- Image Classification
|
||
|
|
ID: gluon_resnet50_v1d
|
||
|
|
Crop Pct: '0.875'
|
||
|
|
Image Size: '224'
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||
|
|
Interpolation: bicubic
|
||
|
|
Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L129
|
||
|
|
In Collection: Gloun ResNet
|
||
|
|
- Name: gluon_resnet50_v1s
|
||
|
|
Metadata:
|
||
|
|
FLOPs: 7019495424
|
||
|
|
Training Data:
|
||
|
|
- ImageNet
|
||
|
|
Architecture:
|
||
|
|
- 1x1 Convolution
|
||
|
|
- Batch Normalization
|
||
|
|
- Bottleneck Residual Block
|
||
|
|
- Convolution
|
||
|
|
- Global Average Pooling
|
||
|
|
- Max Pooling
|
||
|
|
- ReLU
|
||
|
|
- Residual Block
|
||
|
|
- Residual Connection
|
||
|
|
- Softmax
|
||
|
|
File Size: 102992368
|
||
|
|
Tasks:
|
||
|
|
- Image Classification
|
||
|
|
ID: gluon_resnet50_v1s
|
||
|
|
Crop Pct: '0.875'
|
||
|
|
Image Size: '224'
|
||
|
|
Interpolation: bicubic
|
||
|
|
Code: https://github.com/rwightman/pytorch-image-models/blob/d8e69206be253892b2956341fea09fdebfaae4e3/timm/models/gluon_resnet.py#L156
|
||
|
|
In Collection: Gloun ResNet
|
||
|
|
Collections:
|
||
|
|
- Name: Gloun ResNet
|
||
|
|
Paper:
|
||
|
|
title: Deep Residual Learning for Image Recognition
|
||
|
|
url: https://papperswithcode.com//paper/deep-residual-learning-for-image-recognition
|
||
|
|
type: model-index
|
||
|
|
Type: model-index
|
||
|
|
-->
|