552 lines
24 KiB
YAML
552 lines
24 KiB
YAML
Collections:
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- Name: EfficientNet
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Metadata:
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Training Data: ImageNet-1k
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Architecture:
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- 1x1 Convolution
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- Average Pooling
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- Convolution
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- Dense Connections
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- Dropout
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- Inverted Residual Block
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- RMSProp
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- Squeeze-and-Excitation Block
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- Swish
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Paper:
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URL: https://arxiv.org/abs/1905.11946v5
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Title: "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks"
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README: configs/efficientnet/README.md
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Code:
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Version: v0.20.1
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URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/efficientnet.py
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Models:
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- Name: efficientnet-b0_3rdparty_8xb32_in1k
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Metadata:
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FLOPs: 420592480
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Parameters: 5288548
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 76.74
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Top 5 Accuracy: 93.17
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32_in1k_20220119-a7e2a0b1.pth
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Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b0.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b0_3rdparty_8xb32-aa_in1k
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Metadata:
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FLOPs: 420592480
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Parameters: 5288548
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 77.26
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Top 5 Accuracy: 93.41
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa_in1k_20220119-8d939117.pth
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Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b0.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k
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Metadata:
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FLOPs: 420592480
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Parameters: 5288548
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 77.53
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Top 5 Accuracy: 93.61
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty_8xb32-aa-advprop_in1k_20220119-26434485.pth
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Config: configs/efficientnet/efficientnet-b0_8xb32-01norm_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b0.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b0_3rdparty-ra-noisystudent_in1k
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Metadata:
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FLOPs: 420592480
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Parameters: 5288548
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 77.63
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Top 5 Accuracy: 94.00
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b0_3rdparty-ra-noisystudent_in1k_20221103-75cd08d3.pth
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Config: configs/efficientnet/efficientnet-b0_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b0.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b1_3rdparty_8xb32_in1k
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Metadata:
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FLOPs: 744059920
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Parameters: 7794184
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 78.68
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Top 5 Accuracy: 94.28
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32_in1k_20220119-002556d9.pth
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Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b1.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b1_3rdparty_8xb32-aa_in1k
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Metadata:
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FLOPs: 744059920
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Parameters: 7794184
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 79.20
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Top 5 Accuracy: 94.42
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa_in1k_20220119-619d8ae3.pth
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Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b1.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k
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Metadata:
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FLOPs: 744059920
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Parameters: 7794184
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 79.52
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Top 5 Accuracy: 94.43
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty_8xb32-aa-advprop_in1k_20220119-5715267d.pth
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Config: configs/efficientnet/efficientnet-b1_8xb32-01norm_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b1.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b1_3rdparty-ra-noisystudent_in1k
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Metadata:
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FLOPs: 744059920
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Parameters: 7794184
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 81.44
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Top 5 Accuracy: 95.83
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b1_3rdparty-ra-noisystudent_in1k_20221103-756bcbc0.pth
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Config: configs/efficientnet/efficientnet-b1_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b1.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b2_3rdparty_8xb32_in1k
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Metadata:
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FLOPs: 1066620392
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Parameters: 9109994
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 79.64
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Top 5 Accuracy: 94.80
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32_in1k_20220119-ea374a30.pth
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Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b2.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b2_3rdparty_8xb32-aa_in1k
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Metadata:
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FLOPs: 1066620392
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Parameters: 9109994
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 80.21
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Top 5 Accuracy: 94.96
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa_in1k_20220119-dd61e80b.pth
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Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b2.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k
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Metadata:
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FLOPs: 1066620392
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Parameters: 9109994
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 80.45
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Top 5 Accuracy: 95.07
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty_8xb32-aa-advprop_in1k_20220119-1655338a.pth
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Config: configs/efficientnet/efficientnet-b2_8xb32-01norm_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b2.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b2_3rdparty-ra-noisystudent_in1k
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Metadata:
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FLOPs: 1066620392
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Parameters: 9109994
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 82.47
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Top 5 Accuracy: 96.23
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b2_3rdparty-ra-noisystudent_in1k_20221103-301ed299.pth
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Config: configs/efficientnet/efficientnet-b2_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b2.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b3_3rdparty_8xb32_in1k
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Metadata:
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FLOPs: 1953798216
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Parameters: 12233232
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 81.01
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Top 5 Accuracy: 95.34
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32_in1k_20220119-4b4d7487.pth
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Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b3.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b3_3rdparty_8xb32-aa_in1k
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Metadata:
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FLOPs: 1953798216
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Parameters: 12233232
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 81.58
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Top 5 Accuracy: 95.67
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa_in1k_20220119-5b4887a0.pth
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Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b3.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k
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Metadata:
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FLOPs: 1953798216
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Parameters: 12233232
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 81.81
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Top 5 Accuracy: 95.69
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa-advprop_in1k_20220119-53b41118.pth
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Config: configs/efficientnet/efficientnet-b3_8xb32-01norm_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b3.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b3_3rdparty-ra-noisystudent_in1k
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Metadata:
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FLOPs: 1953798216
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Parameters: 12233232
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 84.02
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Top 5 Accuracy: 96.89
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty-ra-noisystudent_in1k_20221103-a4ab5fd6.pth
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Config: configs/efficientnet/efficientnet-b3_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b3.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b4_3rdparty_8xb32_in1k
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Metadata:
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FLOPs: 4659080176
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Parameters: 19341616
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 82.57
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Top 5 Accuracy: 96.09
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32_in1k_20220119-81fd4077.pth
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Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b4.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b4_3rdparty_8xb32-aa_in1k
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Metadata:
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FLOPs: 4659080176
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Parameters: 19341616
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 82.95
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Top 5 Accuracy: 96.26
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa_in1k_20220119-45b8bd2b.pth
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Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b4.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k
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Metadata:
|
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FLOPs: 4659080176
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Parameters: 19341616
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.25
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Top 5 Accuracy: 96.44
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty_8xb32-aa-advprop_in1k_20220119-38c2238c.pth
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Config: configs/efficientnet/efficientnet-b4_8xb32-01norm_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/advprop/efficientnet-b4.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b4_3rdparty-ra-noisystudent_in1k
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Metadata:
|
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FLOPs: 4659080176
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Parameters: 19341616
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 85.25
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Top 5 Accuracy: 97.52
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b4_3rdparty-ra-noisystudent_in1k_20221103-16ba8a2d.pth
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Config: configs/efficientnet/efficientnet-b4_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b4.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b5_3rdparty_8xb32_in1k
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Metadata:
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FLOPs: 10799472560
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Parameters: 30389784
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.18
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Top 5 Accuracy: 96.47
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32_in1k_20220119-e9814430.pth
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Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckpts/efficientnet-b5.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b5_3rdparty_8xb32-aa_in1k
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Metadata:
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FLOPs: 10799472560
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Parameters: 30389784
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.82
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Top 5 Accuracy: 96.76
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b5_3rdparty_8xb32-aa_in1k_20220119-2cab8b78.pth
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Config: configs/efficientnet/efficientnet-b5_8xb32_in1k.py
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Converted From:
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Weights: https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/ckptsaug/efficientnet-b5.tar.gz
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Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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- Name: efficientnet-b5_3rdparty_8xb32-aa-advprop_in1k
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Metadata:
|
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FLOPs: 10799472560
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Parameters: 30389784
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In Collection: EfficientNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 84.21
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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
|