49 lines
1.8 KiB
YAML
49 lines
1.8 KiB
YAML
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
|