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metafile.yml
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Collections:
- Name: EdgeNeXt
Metadata:
Training Data: ImageNet-1k
Architecture:
- SDTA
- 1x1 Convolution
- Channel Self-attention
Paper:
URL: https://arxiv.org/abs/2206.10589
Title: 'EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications'
README: configs/edgenext/README.md
Code:
Version: v1.0.0rc1
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.23.2/mmcls/models/backbones/edgenext.py
Models:
- Name: edgenext-xxsmall_3rdparty_in1k
Metadata:
FLOPs: 255640144
Parameters: 1327216
In Collection: EdgeNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 71.20
Top 5 Accuracy: 89.91
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-xxsmall_3rdparty_in1k_20220801-7ca8a81d.pth
Config: configs/edgenext/edgenext-xxsmall_8xb256_in1k.py
Converted From:
Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.0/edgenext_xxsmall.pth
Code: https://github.com/mmaaz60/EdgeNeXt
- Name: edgenext-xsmall_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 529970560
Parameters: 2336804
In Collection: EdgeNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 74.86
Top 5 Accuracy: 92.31
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-xsmall_3rdparty_in1k_20220801-974f9fe7.pth
Config: configs/edgenext/edgenext-xsmall_8xb256_in1k.py
Converted From:
Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.0/edgenext_xsmall.pth
Code: https://github.com/mmaaz60/EdgeNeXt
- Name: edgenext-small_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 1249788000
Parameters: 5586832
In Collection: EdgeNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 79.41
Top 5 Accuracy: 94.53
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-small_3rdparty_in1k_20220801-d00db5f8.pth
Config: configs/edgenext/edgenext-small_8xb256_in1k.py
Converted From:
Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.0/edgenext_small.pth
Code: https://github.com/mmaaz60/EdgeNeXt
- Name: edgenext-small-usi_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 1249788000
Parameters: 5586832
In Collection: EdgeNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.06
Top 5 Accuracy: 95.34
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-small_3rdparty-usi_in1k_20220801-ae6d8dd3.pth
Config: configs/edgenext/edgenext-small_8xb256-usi_in1k.py
Converted From:
Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.1/edgenext_small_usi.pth
Code: https://github.com/mmaaz60/EdgeNeXt
- Name: edgenext-base_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 3814395280
Parameters: 18511292
In Collection: EdgeNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.48
Top 5 Accuracy: 96.2
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-base_3rdparty_in1k_20220801-9ade408b.pth
Config: configs/edgenext/edgenext-base_8xb256_in1k.py
Converted From:
Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.2/edgenext_base.pth
Code: https://github.com/mmaaz60/EdgeNeXt
- Name: edgenext-base_3rdparty-usi_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 3814395280
Parameters: 18511292
In Collection: EdgeNeXt
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.67
Top 5 Accuracy: 96.7
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-base_3rdparty-usi_in1k_20220801-909e8939.pth
Config: configs/edgenext/edgenext-base_8xb256-usi_in1k.py
Converted From:
Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.2/edgenext_base_usi.pth
Code: https://github.com/mmaaz60/EdgeNeXt