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- Collections:
- - Name: RepMLP
- Metadata:
- Training Data: ImageNet-1k
- Architecture:
- - Multi-layer Perceptron
- - Re-parameterization Convolution
- Paper:
- URL: https://arxiv.org/abs/2105.01883
- Title: 'RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition'
- README: configs/repmlp/README.md
- Code:
- URL: https://github.com/open-mmlab/mmpretrain/blob/v0.21.0/mmcls/models/backbones/repmlp.py
- Version: v0.21.0
- Models:
- - Name: repmlp-base_3rdparty_8xb64_in1k
- In Collection: RepMLP
- Config: configs/repmlp/repmlp-base_8xb64_in1k.py
- Metadata:
- FLOPs: 6710000000 # 6.71 G
- Parameters: 68240000 # 68.24 M
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 80.41
- Top 5 Accuracy: 95.14
- Task: Image Classification
- Weights: https://download.openmmlab.com/mmclassification/v0/repmlp/repmlp-base_3rdparty_8xb64_in1k_20220330-1cb1f11b.pth
- Converted From:
- Weights: https://github.com/DingXiaoH/RepMLP
- Code: https://github.com/DingXiaoH/RepMLP/blob/072d8516beba83d75dfe6ebb12f625abad4b53d5/repmlpnet.py#L274
- - Name: repmlp-base_3rdparty_8xb64_in1k-256px
- In Collection: RepMLP
- Config: configs/repmlp/repmlp-base_8xb64_in1k-256px.py
- Metadata:
- FLOPs: 9690000000 # 9.69 G
- Parameters: 96450000 # 96.45M
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 81.11
- Top 5 Accuracy: 95.50
- Task: Image Classification
- Weights: https://download.openmmlab.com/mmclassification/v0/repmlp/repmlp-base_3rdparty_8xb64_in1k-256px_20220330-7c5a91ce.pth
- Converted From:
- Weights: https://github.com/DingXiaoH/RepMLP
- Code: https://github.com/DingXiaoH/RepMLP/blob/072d8516beba83d75dfe6ebb12f625abad4b53d5/repmlpnet.py#L278
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