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- 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
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