Yixiao Fang e4c4a81b56

[Feature] Support iTPN and HiViT (#1584) ...

* hivit added

* Update hivit.py

* Update hivit.py

* Add files via upload

* Update __init__.py

* Add files via upload

* Update __init__.py

* Add files via upload

* Update hivit.py

* Add files via upload

* Add files via upload

* Add files via upload

* Add files via upload

* Update itpn.py

* Add files via upload

* Update __init__.py

* Update mae_hivit-base-p16.py

* Delete mim_itpn-base-p16.py

* Add files via upload

* Update itpn_hivit-base-p16.py

* Update itpn.py

* Update hivit.py

* Update __init__.py

* Update mae.py

* Delete hivit.py

* Update __init__.py

* Delete configs/itpn directory

* Add files via upload

* Add files via upload

* Delete configs/hivit directory

* Add files via upload

* refactor and add metafile and readme

* update clip

* add ut

* update ut

* update

* update docstring

* update model.rst

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Co-authored-by: 田运杰 <48153283+sunsmarterjie@users.noreply.github.com>

2023-05-26 12:08:34 +08:00

..

conformer

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

convmixer

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convnext

[Feature] Support ConvNeXt-V2 backbone. (#1294)

2023-01-06 16:13:41 +08:00

convnext_v2

[Feature] Support ConvNeXt-V2 backbone. (#1294)

2023-01-06 16:13:41 +08:00

davit

[Feature] Support DaViT. (#1105)

2022-11-16 17:23:55 +08:00

deit3

[Fix] Fix configs due to api refactor of num_classes. (#1184)

2022-11-14 14:43:56 +08:00

densenet

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edgenext

[Feature] Support EdgeNeXt for dev-1.x. (#1037)

2022-09-21 13:27:04 +08:00

efficientnet_v2

[Improve] Remove useless EfficientnetV2 config files. (#1300)

2023-01-06 16:10:59 +08:00

eva

[Refactor] Use out_type to specify ViT-like backbone output. (#1408)

2023-03-09 11:02:58 +08:00

hivit

[Feature] Support iTPN and HiViT (#1584)

2023-05-26 12:08:34 +08:00

hornet

[Feature] Support HorNet Backbone for dev1.x. (#1094)

2022-11-04 15:33:46 +08:00

hrnet

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mixmim

[Feature] Add mixmim backbone with checkpoints. (#1224)

2022-12-20 16:52:54 +08:00

mobilenet_v3

[Enhance] Add more mobilenetv3 pretrains. (#1154)

2022-11-14 17:06:39 +08:00

mobileone

[Feature] Add MobileOne Backbone For MMCls 1.x. (#1030)

2022-09-16 11:55:10 +08:00

mobilevit

[Feature] Support MobileViT backbone. (#1068)

2022-10-18 17:05:59 +08:00

mvit

[Fix] Fix configs due to api refactor of num_classes. (#1184)

2022-11-14 14:43:56 +08:00

poolformer

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regnet

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revvit

[Refactor] Use out_type to specify ViT-like backbone output. (#1408)

2023-03-09 11:02:58 +08:00

swin_transformer

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

swin_transformer_v2

[Docs] Improve Swin Doc and Add Tabs enxtation. (#1145)

2022-11-04 11:58:39 +08:00

tinyvit

[Feature] Add TinyViT for dev-1.x. (#1042)

2022-12-20 13:04:00 +08:00

van

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

vig

[Feature] Support VIG Backbone. (#1304)

2023-01-17 16:55:56 +08:00

efficientformer-l1.py

[Feature] Add efficientformer Backbone for MMCls 1.x. (#1031)

2022-09-20 14:56:45 +08:00

efficientnet_b0.py

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efficientnet_b1.py

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efficientnet_b2.py

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efficientnet_b3.py

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efficientnet_b4.py

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efficientnet_b5.py

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efficientnet_b6.py

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efficientnet_b7.py

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efficientnet_b8.py

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efficientnet_em.py

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efficientnet_es.py

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efficientnet_l2.py

[Feature] EfficientNets NoisyStudent & L2. (#1122)

2022-11-21 16:57:13 +08:00

inception_v3.py

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itpn_hivit-base-p16.py

[Feature] Support iTPN and HiViT (#1584)

2023-05-26 12:08:34 +08:00

levit-256-p16.py

[Feature] Support LeViT backbone. (#1238)

2023-01-17 17:43:42 +08:00

mae_hivit-base-p16.py

[Feature] Support iTPN and HiViT (#1584)

2023-05-26 12:08:34 +08:00

mae_vit-base-p16.py

[Refactor] Add necks, heads and losses for the self-supervised task. (#1376)

2023-02-28 10:05:00 +08:00

mlp_mixer_base_patch16.py

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mlp_mixer_large_patch16.py

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mobilenet_v2_1x.py

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replknet-31B_in1k.py

Rename the package name to mmpretrain.

2023-02-17 15:20:55 +08:00

replknet-31L_in1k.py

[Feature] Support RepLKnet backbone. (#1129)

2022-11-21 10:18:58 +08:00

replknet-XL_in1k.py

[Feature] Support RepLKnet backbone. (#1129)

2022-11-21 10:18:58 +08:00

repmlp-base_224.py

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repvgg-A0_in1k.py

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repvgg-B3_lbs-mixup_in1k.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

res2net50-w14-s8.py

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res2net50-w26-s4.py

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res2net50-w26-s6.py

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res2net50-w26-s8.py

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res2net50-w48-s2.py

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res2net101-w26-s4.py

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resnest50.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

resnest101.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

resnest200.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

resnest269.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

resnet18_cifar.py

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resnet18.py

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resnet34_cifar.py

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resnet34_gem.py

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resnet34.py

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resnet50_cifar_cutmix.py

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resnet50_cifar_mixup.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

resnet50_cifar.py

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resnet50_cutmix.py

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resnet50_label_smooth.py

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resnet50_mixup.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

resnet50.py

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resnet101_cifar.py

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resnet101.py

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resnet152_cifar.py

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resnet152.py

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resnetv1c50.py

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resnetv1d50.py

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resnetv1d101.py

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resnetv1d152.py

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resnext50_32x4d.py

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resnext101_32x4d.py

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resnext101_32x8d.py

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resnext152_32x4d.py

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seresnet50.py

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seresnet101.py

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seresnext50_32x4d.py

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seresnext101_32x4d.py

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shufflenet_v1_1x.py

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shufflenet_v2_1x.py

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t2t-vit-t-14.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

t2t-vit-t-19.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

t2t-vit-t-24.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

tnt_s_patch16_224.py

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twins_pcpvt_base.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

twins_svt_base.py

[Improve] Speed up data preprocessor. (#1064)

2022-10-17 17:08:18 +08:00

vgg11.py

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vgg11bn.py

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vgg13.py

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vgg13bn.py

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vgg16.py

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vgg16bn.py

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vgg19.py

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vgg19bn.py

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vit-base-p16.py

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vit-base-p32.py

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vit-large-p16.py

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vit-large-p32.py

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wide-resnet50.py

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