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metafile.yml
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Collections:
- Name: RIFormer
Metadata:
Training Data: ImageNet-1k
Training Resources: 8x A100 GPUs
Architecture:
- Affine
- 1x1 Convolution
- LayerScale
Paper:
URL: https://arxiv.org/abs/xxxx.xxxxx
Title: "RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer"
README: configs/riformer/README.md
Code:
Version: v1.0.0rc7
URL: null
Models:
- Name: riformer-s12_in1k
Metadata:
FLOPs: 1822000000
Parameters: 11915000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 76.90
Top 5 Accuracy: 93.06
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s12_32xb128_in1k_20230406-6741ce71.pth
Config: configs/riformer/riformer-s12_8xb128_in1k.py
- Name: riformer-s24_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 3412000000
Parameters: 21389000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 80.28
Top 5 Accuracy: 94.80
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s24_32xb128_in1k_20230406-fdab072a.pth
Config: configs/riformer/riformer-s24_8xb128_in1k.py
- Name: riformer-s36_in1k
Metadata:
FLOPs: 5003000000
Parameters: 30863000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.29
Top 5 Accuracy: 95.41
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s36_32xb128_in1k_20230406-fdfcd3b0.pth
Config: configs/riformer/riformer-s36_8xb128_in1k.py
- Name: riformer-m36_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 8801000000
Parameters: 56173000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.57
Top 5 Accuracy: 95.99
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m36_32xb128_in1k_20230406-2fcb9d9b.pth
Config: configs/riformer/riformer-m36_8xb128_in1k.py
- Name: riformer-m48_in1k
Metadata:
FLOPs: 11590000000
Parameters: 73473000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.75
Top 5 Accuracy: 96.11
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m48_32xb128_in1k_20230406-2b9d1abf.pth
Config: configs/riformer/riformer-m48_8xb64_in1k.py
- Name: riformer-s12_in1k-384
Metadata:
FLOPs: 5355000000
Parameters: 11915000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 78.29
Top 5 Accuracy: 93.93
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s12_32xb128_in1k-384px_20230406-145eda4c.pth
Config: configs/riformer/riformer-s12_8xb128_in1k-384px.py
- Name: riformer-s24_in1k-384
Metadata:
Training Data: ImageNet-1k
FLOPs: 10028000000
Parameters: 21389000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.36
Top 5 Accuracy: 95.40
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s24_32xb128_in1k-384px_20230406-bafae7ab.pth
Config: configs/riformer/riformer-s24_8xb128_in1k-384px.py
- Name: riformer-s36_in1k-384
Metadata:
FLOPs: 14702000000
Parameters: 30863000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.22
Top 5 Accuracy: 95.95
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s36_32xb128_in1k-384px_20230406-017ed3c4.pth
Config: configs/riformer/riformer-s36_8xb64_in1k-384px.py
- Name: riformer-m36_in1k-384
Metadata:
Training Data: ImageNet-1k
FLOPs: 25865000000
Parameters: 56173000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.39
Top 5 Accuracy: 96.40
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m36_32xb128_in1k-384px_20230406-66a6f764.pth
Config: configs/riformer/riformer-m36_8xb64_in1k-384px.py
- Name: riformer-m48_in1k-384
Metadata:
FLOPs: 34060000000
Parameters: 73473000
In Collection: RIFormer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.70
Top 5 Accuracy: 96.60
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m48_32xb128_in1k-384px_20230406-2e874826.pth
Config: configs/riformer/riformer-m48_8xb64_in1k-384px.py