mmpretrain/configs/convnext_v2/metafile.yml

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Collections:
- Name: ConvNeXt V2
Metadata:
Architecture:
- Global Response Normalization
Paper:
Title: Co-designing and Scaling ConvNets with Masked Autoencoders
URL: http://arxiv.org/abs/2301.00808
README: configs/convnext_v2/README.md
Models:
- Name: convnext-v2-atto_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 551718080
Parameters: 3708400
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-atto_3rdparty-fcmae_in1k_20230104-07514db4.pth
Config: configs/convnext_v2/convnext-v2-atto_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_atto_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-atto_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 551718080
Parameters: 3708400
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 76.64
Top 5 Accuracy: 93.04
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-atto_fcmae-pre_3rdparty_in1k_20230104-23765f83.pth
Config: configs/convnext_v2/convnext-v2-atto_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_atto_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-femto_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 784892544
Parameters: 5233240
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-femto_3rdparty-fcmae_in1k_20230104-adbe2082.pth
Config: configs/convnext_v2/convnext-v2-femto_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_femto_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-femto_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 784892544
Parameters: 5233240
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 78.48
Top 5 Accuracy: 93.98
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-femto_fcmae-pre_3rdparty_in1k_20230104-92a75d75.pth
Config: configs/convnext_v2/convnext-v2-femto_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_femto_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-pico_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 1374072320
Parameters: 9066280
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-pico_3rdparty-fcmae_in1k_20230104-147b1b59.pth
Config: configs/convnext_v2/convnext-v2-pico_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_pico_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-pico_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 1374072320
Parameters: 9066280
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 80.31
Top 5 Accuracy: 95.08
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-pico_fcmae-pre_3rdparty_in1k_20230104-d20263ca.pth
Config: configs/convnext_v2/convnext-v2-pico_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_pico_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-nano_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 2454926720
Parameters: 15623800
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-nano_3rdparty-fcmae_in1k_20230104-3dd1f29e.pth
Config: configs/convnext_v2/convnext-v2-nano_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_nano_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-nano_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 2454926720
Parameters: 15623800
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.86
Top 5 Accuracy: 95.75
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-nano_fcmae-pre_3rdparty_in1k_20230104-fe1aaaf2.pth
Config: configs/convnext_v2/convnext-v2-nano_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_nano_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-nano_fcmae-in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 2454926720
Parameters: 15623800
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.04
Top 5 Accuracy: 96.16
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-nano_fcmae-in21k-pre_3rdparty_in1k_20230104-91fa8ae2.pth
Config: configs/convnext_v2/convnext-v2-nano_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_nano_22k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-tiny_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 4469631744
Parameters: 28635496
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-tiny_3rdparty-fcmae_in1k_20230104-80513adc.pth
Config: configs/convnext_v2/convnext-v2-tiny_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_tiny_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-tiny_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 4469631744
Parameters: 28635496
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 82.94
Top 5 Accuracy: 96.29
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-tiny_fcmae-pre_3rdparty_in1k_20230104-471a86de.pth
Config: configs/convnext_v2/convnext-v2-tiny_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_tiny_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-tiny_fcmae-in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 4469631744
Parameters: 28635496
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.89
Top 5 Accuracy: 96.96
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-tiny_fcmae-in21k-pre_3rdparty_in1k_20230104-8cc8b8f2.pth
Config: configs/convnext_v2/convnext-v2-tiny_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_tiny_22k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-nano_fcmae-in21k-pre_3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 7214472320
Parameters: 15623800
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.36
Top 5 Accuracy: 96.75
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-nano_fcmae-in21k-pre_3rdparty_in1k-384px_20230104-f951ae87.pth
Config: configs/convnext_v2/convnext-v2-nano_32xb32_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_nano_22k_384_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-tiny_fcmae-in21k-pre_3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 13135236864
Parameters: 28635496
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.09
Top 5 Accuracy: 97.63
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-tiny_fcmae-in21k-pre_3rdparty_in1k-384px_20230104-d8579f84.pth
Config: configs/convnext_v2/convnext-v2-tiny_32xb32_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_tiny_22k_384_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-base_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 15382561792
Parameters: 88717800
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-base_3rdparty-fcmae_in1k_20230104-8a798eaf.pth
Config: configs/convnext_v2/convnext-v2-base_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_base_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-base_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 15382561792
Parameters: 88717800
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.87
Top 5 Accuracy: 97.08
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-base_fcmae-pre_3rdparty_in1k_20230104-00a70fa4.pth
Config: configs/convnext_v2/convnext-v2-base_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_base_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-base_fcmae-in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 15382561792
Parameters: 88717800
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.74
Top 5 Accuracy: 98.02
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-base_fcmae-in21k-pre_3rdparty_in1k_20230104-c48d16a5.pth
Config: configs/convnext_v2/convnext-v2-base_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_base_22k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-large_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 34403182080
Parameters: 197956840
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-large_3rdparty-fcmae_in1k_20230104-bf38df92.pth
Config: configs/convnext_v2/convnext-v2-large_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_large_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-large_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 34403182080
Parameters: 197956840
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.76
Top 5 Accuracy: 97.59
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-large_fcmae-pre_3rdparty_in1k_20230104-ef393013.pth
Config: configs/convnext_v2/convnext-v2-large_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_large_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-large_fcmae-in21k-pre_3rdparty_in1k
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 34403182080
Parameters: 197956840
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 87.26
Top 5 Accuracy: 98.24
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-large_fcmae-in21k-pre_3rdparty_in1k_20230104-d9c4dc0c.pth
Config: configs/convnext_v2/convnext-v2-large_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_large_22k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-base_fcmae-in21k-pre_3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 45205885952
Parameters: 88717800
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 87.63
Top 5 Accuracy: 98.42
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-base_fcmae-in21k-pre_3rdparty_in1k-384px_20230104-379425cc.pth
Config: configs/convnext_v2/convnext-v2-base_32xb32_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_base_22k_384_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-large_fcmae-in21k-pre_3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 101103214080
Parameters: 197956840
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 88.18
Top 5 Accuracy: 98.52
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-large_fcmae-in21k-pre_3rdparty_in1k-384px_20230104-9139a1f3.pth
Config: configs/convnext_v2/convnext-v2-large_32xb32_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_large_22k_384_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-huge_3rdparty-fcmae_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 114998639360
Parameters: 660289640
In Collection: ConvNeXt V2
Results: null
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-huge_3rdparty-fcmae_in1k_20230104-fe43ae6c.pth
Config: configs/convnext_v2/convnext-v2-huge_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/pt_only/convnextv2_huge_1k_224_fcmae.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-huge_fcmae-pre_3rdparty_in1k
Metadata:
Training Data: ImageNet-1k
FLOPs: 114998639360
Parameters: 660289640
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.25
Top 5 Accuracy: 97.75
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-huge_fcmae-pre_3rdparty_in1k_20230104-f795e5b8.pth
Config: configs/convnext_v2/convnext-v2-huge_32xb32_in1k.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im1k/convnextv2_huge_1k_224_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-huge_fcmae-in21k-pre_3rdparty_in1k-384px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 337955157760
Parameters: 660289640
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 88.68
Top 5 Accuracy: 98.73
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-huge_fcmae-in21k-pre_3rdparty_in1k-384px_20230104-02a4eb35.pth
Config: configs/convnext_v2/convnext-v2-huge_32xb32_in1k-384px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_huge_22k_384_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2
- Name: convnext-v2-huge_fcmae-in21k-pre_3rdparty_in1k-512px
Metadata:
Training Data:
- ImageNet-21k
- ImageNet-1k
FLOPs: 600809158400
Parameters: 660289640
In Collection: ConvNeXt V2
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 88.86
Top 5 Accuracy: 98.74
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/convnext-v2/convnext-v2-huge_fcmae-in21k-pre_3rdparty_in1k-512px_20230104-ce32e63c.pth
Config: configs/convnext_v2/convnext-v2-huge_32xb32_in1k-512px.py
Converted From:
Weights: https://dl.fbaipublicfiles.com/convnext/convnextv2/im22k/convnextv2_huge_22k_512_ema.pt
Code: https://github.com/facebookresearch/ConvNeXt-V2