mmpretrain/configs/efficientnet/metafile.yml

552 lines
24 KiB
YAML

Collections:
- Name: EfficientNet
Metadata:
Training Data: ImageNet-1k
Architecture:
- 1x1 Convolution
- Average Pooling
- Convolution
- Dense Connections
- Dropout
- Inverted Residual Block
- RMSProp
- Squeeze-and-Excitation Block
- Swish
Paper:
URL: https://arxiv.org/abs/1905.11946v5
Title: "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks"
README: configs/efficientnet/README.md
Code:
Version: v0.20.1
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/efficientnet.py
Models:
- Name: efficientnet-b0_3rdparty_8xb32_in1k
Metadata:
FLOPs: 420592480
Parameters: 5288548
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 76.74
Top 5 Accuracy: 93.17
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32_in1k_20220119-a7e2a0b1.pth
Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b0.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b0_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 420592480
Parameters: 5288548
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 77.26
Top 5 Accuracy: 93.41
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa_in1k_20220119-8d939117.pth
Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b0.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 420592480
Parameters: 5288548
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 77.53
Top 5 Accuracy: 93.61
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k_20220119-26434485.pth
Config: configs/efficientnet/efficientnet-b0_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b0.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b0_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 420592480
Parameters: 5288548
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 77.63
Top 5 Accuracy: 94.00
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty-ra-noisystudent_in1k_20221103-75cd08d3.pth
Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b0.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b1_3rdparty_8xb32_in1k
Metadata:
FLOPs: 744059920
Parameters: 7794184
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 78.68
Top 5 Accuracy: 94.28
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32_in1k_20220119-002556d9.pth
Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b1.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b1_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 744059920
Parameters: 7794184
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 79.20
Top 5 Accuracy: 94.42
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa_in1k_20220119-619d8ae3.pth
Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b1.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 744059920
Parameters: 7794184
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 79.52
Top 5 Accuracy: 94.43
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k_20220119-5715267d.pth
Config: configs/efficientnet/efficientnet-b1_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b1.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b1_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 744059920
Parameters: 7794184
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.44
Top 5 Accuracy: 95.83
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty-ra-noisystudent_in1k_20221103-756bcbc0.pth
Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b1.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b2_3rdparty_8xb32_in1k
Metadata:
FLOPs: 1066620392
Parameters: 9109994
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 79.64
Top 5 Accuracy: 94.80
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32_in1k_20220119-ea374a30.pth
Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b2.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b2_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 1066620392
Parameters: 9109994
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 80.21
Top 5 Accuracy: 94.96
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa_in1k_20220119-dd61e80b.pth
Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b2.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 1066620392
Parameters: 9109994
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 80.45
Top 5 Accuracy: 95.07
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k_20220119-1655338a.pth
Config: configs/efficientnet/efficientnet-b2_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b2.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b2_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 1066620392
Parameters: 9109994
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.47
Top 5 Accuracy: 96.23
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty-ra-noisystudent_in1k_20221103-301ed299.pth
Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b2.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b3_3rdparty_8xb32_in1k
Metadata:
FLOPs: 1953798216
Parameters: 12233232
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.01
Top 5 Accuracy: 95.34
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32_in1k_20220119-4b4d7487.pth
Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b3.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b3_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 1953798216
Parameters: 12233232
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.58
Top 5 Accuracy: 95.67
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa_in1k_20220119-5b4887a0.pth
Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b3.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 1953798216
Parameters: 12233232
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.81
Top 5 Accuracy: 95.69
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k_20220119-53b41118.pth
Config: configs/efficientnet/efficientnet-b3_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b3.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b3_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 1953798216
Parameters: 12233232
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.02
Top 5 Accuracy: 96.89
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty-ra-noisystudent_in1k_20221103-a4ab5fd6.pth
Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b3.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b4_3rdparty_8xb32_in1k
Metadata:
FLOPs: 4659080176
Parameters: 19341616
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.57
Top 5 Accuracy: 96.09
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32_in1k_20220119-81fd4077.pth
Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b4.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b4_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 4659080176
Parameters: 19341616
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.95
Top 5 Accuracy: 96.26
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa_in1k_20220119-45b8bd2b.pth
Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b4.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 4659080176
Parameters: 19341616
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.25
Top 5 Accuracy: 96.44
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k_20220119-38c2238c.pth
Config: configs/efficientnet/efficientnet-b4_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b4.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b4_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 4659080176
Parameters: 19341616
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.25
Top 5 Accuracy: 97.52
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty-ra-noisystudent_in1k_20221103-16ba8a2d.pth
Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b4.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b5_3rdparty_8xb32_in1k
Metadata:
FLOPs: 10799472560
Parameters: 30389784
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.18
Top 5 Accuracy: 96.47
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32_in1k_20220119-e9814430.pth
Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b5.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b5_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 10799472560
Parameters: 30389784
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.82
Top 5 Accuracy: 96.76
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32-aa_in1k_20220119-2cab8b78.pth
Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b5.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b5_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 10799472560
Parameters: 30389784
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.21
Top 5 Accuracy: 96.98
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32-aa-advprop_in1k_20220119-f57a895a.pth
Config: configs/efficientnet/efficientnet-b5_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b5.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b5_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 10799472560
Parameters: 30389784
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.08
Top 5 Accuracy: 97.75
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty-ra-noisystudent_in1k_20221103-111a185f.pth
Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b5.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b6_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 19971777560
Parameters: 43040704
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.05
Top 5 Accuracy: 96.82
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty_8xb32-aa_in1k_20220119-45b03310.pth
Config: configs/efficientnet/efficientnet-b6_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b6.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b6_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 19971777560
Parameters: 43040704
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.74
Top 5 Accuracy: 97.14
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty_8xb32-aa-advprop_in1k_20220119-bfe3485e.pth
Config: configs/efficientnet/efficientnet-b6_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b6.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b6_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 19971777560
Parameters: 43040704
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.47
Top 5 Accuracy: 97.87
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b6_3rdparty-ra-noisystudent_in1k_20221103-7de7d2cc.pth
Config: configs/efficientnet/efficientnet-b6_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b6.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b7_3rdparty_8xb32-aa_in1k
Metadata:
FLOPs: 39316473392
Parameters: 66347960
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.38
Top 5 Accuracy: 96.88
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty_8xb32-aa_in1k_20220119-bf03951c.pth
Config: configs/efficientnet/efficientnet-b7_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b7.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b7_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 39316473392
Parameters: 66347960
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.14
Top 5 Accuracy: 97.23
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty_8xb32-aa-advprop_in1k_20220119-c6dbff10.pth
Config: configs/efficientnet/efficientnet-b7_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b7.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b7_3rdparty-ra-noisystudent_in1k
Metadata:
FLOPs: 39316473392
Parameters: 66347960
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.83
Top 5 Accuracy: 98.08
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b7_3rdparty-ra-noisystudent_in1k_20221103-a82894bc.pth
Config: configs/efficientnet/efficientnet-b7_8xb32_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b7.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-b8_3rdparty_8xb32-aa-advprop_in1k
Metadata:
FLOPs: 64999827816
Parameters: 87413142
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.38
Top 5 Accuracy: 97.28
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b8_3rdparty_8xb32-aa-advprop_in1k_20220119-297ce1b7.pth
Config: configs/efficientnet/efficientnet-b8_8xb32-01norm_in1k.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b8.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-l2_3rdparty-ra-noisystudent_in1k-800px
Metadata:
FLOPs: 174203533416
Parameters: 480309308
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 88.33
Top 5 Accuracy: 98.65
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-l2_3rdparty-ra-noisystudent_in1k_20221103-be73be13.pth
Config: configs/efficientnet/efficientnet-l2_8xb8_in1k-800px.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-l2.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
- Name: efficientnet-l2_3rdparty-ra-noisystudent_in1k-475px
Metadata:
FLOPs: 484984099280
Parameters: 480309308
In Collection: EfficientNet
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 88.18
Top 5 Accuracy: 98.55
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-l2_3rdparty-ra-noisystudent_in1k-475px_20221103-5a0d8058.pth
Config: configs/efficientnet/efficientnet-l2_8xb32_in1k-475px.py
Converted From:
Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-l2_475.tar.gz
Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet