v0.1-rsb-weights
版本发布时间: 2021-10-04 08:02:48
huggingface/pytorch-image-models最新发布版本:v1.0.9(2024-08-24 07:42:07)
Weights for ResNet Strikes Back
Paper: https://arxiv.org/abs/2110.00476
More details on weights and hparams to come...
1、 convnext_atto_d2-01bb0f51.pth 14.12MB
2、 convnext_atto_ols_a2-78d1c8f3.pth 14.14MB
3、 convnext_femto_d1-d71d5b4c.pth 19.92MB
4、 convnext_femto_ols_d1-246bf2ed.pth 19.96MB
5、 convnext_nano_d1h-7eb4bdea.pth 59.51MB
6、 convnext_nano_ols_d1h-ae424a9a.pth 59.72MB
7、 convnext_pico_d1-10ad7f0d.pth 34.53MB
8、 convnext_pico_ols_d1-611f0ca7.pth 34.59MB
9、 convnext_tiny_hnf_a2h-ab7e9df2.pth 109.09MB
10、 deit_base_patch16_a1_0-141881b8.pth 330.25MB
11、 deit_base_patch16_a2_0-95d90282.pth 330.25MB
12、 deit_small_patch16_a1_0-bfd3c1ab.pth 84.14MB
13、 deit_small_patch16_a2_0-83b53863.pth 84.14MB
14、 deit_tiny_patch16_a1_0-90f89490.pth 21.83MB
15、 deit_tiny_patch16_a2_0-324fe5ea.pth 21.83MB
16、 ecaresnet269d_a1_0-b848cf33.pth 390.65MB
17、 ecaresnet269d_a2_0-715c86c9.pth 390.65MB
18、 ecaresnet269d_a3_0-ec68cab2.pth 390.65MB
19、 ecaresnet50t_a1_0-99bd76a8.pth 97.8MB
20、 ecaresnet50t_a2_0-b1c7b745.pth 97.8MB
21、 ecaresnet50t_a3_0-8cc311f1.pth 97.8MB
22、 efficientnetv2_rw_m_a1_0-b788290c.pth 204.41MB
23、 efficientnetv2_rw_m_a2_0-12297cd3.pth 204.41MB
24、 efficientnetv2_rw_m_a3_0-68b15d26.pth 204.41MB
25、 efficientnetv2_rw_s_a1_0-59d76611.pth 92.05MB
26、 efficientnetv2_rw_s_a2_0-cafb8f99.pth 92.05MB
27、 efficientnetv2_rw_s_a3_0-11105c48.pth 92.05MB
28、 gluon_senet154_a1_0-ef9d383e.pth 440.12MB
29、 gluon_senet154_a2_0-63cb3b08.pth 440.12MB
30、 gluon_senet154_a3_0-d8df0fde.pth 440.12MB
31、 regnety_040_a1_0-453380cb.pth 79.06MB
32、 regnety_040_a2_0-acda0189.pth 79.06MB
33、 regnety_040_a3_0-9705a0d6.pth 79.06MB
34、 regnety_080_a1_0-7d647454.pth 149.84MB
35、 regnety_080_a2_0-2298ae4e.pth 149.84MB
36、 regnety_080_a3_0-2fb073a0.pth 149.84MB
37、 regnety_160_a1_0-ed74711e.pth 319.39MB
38、 regnety_160_a2_0-6631355e.pth 319.39MB
39、 regnety_160_a3_0-9ee45d21.pth 319.39MB
40、 regnety_320_a1_0-6c920aed.pth 553.97MB
41、 regnety_320_a2_0-a9fedcbf.pth 553.97MB
42、 regnety_320_a3_0-242d2987.pth 553.97MB
43、 resnet101_a1h-36d3f2aa.pth 170.43MB
44、 resnet101_a1_0-cdcb52a9.pth 170.43MB
45、 resnet101_a2_0-6edb36c7.pth 170.43MB
46、 resnet101_a3_0-1db14157.pth 170.43MB
47、 resnet10t_176_c3-f3215ab1.pth 20.77MB
48、 resnet14t_176_c3-c4ed2c37.pth 38.55MB
49、 resnet152_a1h-dc400468.pth 230.33MB
50、 resnet152_a1_0-2eee8a7a.pth 230.32MB
51、 resnet152_a2_0-b4c6978f.pth 230.32MB
52、 resnet152_a3_0-134d4688.pth 230.32MB
53、 resnet18_a1_0-d63eafa0.pth 44.64MB
54、 resnet18_a2_0-b61bd467.pth 44.64MB
55、 resnet18_a3_0-40c531c8.pth 44.64MB
56、 resnet34_a1_0-46f8f793.pth 83.24MB
57、 resnet34_a2_0-82d47d71.pth 83.24MB
58、 resnet34_a3_0-a20cabb6.pth 83.24MB
59、 resnet50d_a1_0-e20cff14.pth 97.81MB
60、 resnet50d_a2_0-a3adc64d.pth 97.81MB
61、 resnet50d_a3_0-403fdfad.pth 97.81MB
62、 resnet50_a1h-35c100f8.pth 97.74MB
63、 resnet50_a1h2_176-001a1197.pth 97.74MB
64、 resnet50_a1_0-14fe96d1.pth 97.74MB
65、 resnet50_a2_0-a2746f79.pth 97.74MB
66、 resnet50_a3_0-59cae1ef.pth 97.74MB
67、 resnet50_b1k-532a802a.pth 97.74MB
68、 resnet50_b2k-1ba180c1.pth 97.74MB
69、 resnet50_c1-5ba5e060.pth 97.74MB
70、 resnet50_c2-d01e05b2.pth 97.74MB
71、 resnet50_d-f39db8af.pth 97.74MB
72、 resnet50_ft_cars_a1.pth 91.5MB
73、 resnet50_ft_cars_a2.pth 91.5MB
74、 resnet50_ft_cars_a3.pth 91.5MB
75、 resnet50_ft_cars_pt.pth 91.5MB
76、 resnet50_ft_cifar100_a1.pth 90.74MB
77、 resnet50_ft_cifar100_a2.pth 90.74MB
78、 resnet50_ft_cifar100_a3.pth 90.74MB
79、 resnet50_ft_cifar100_pt.pth 90.74MB
80、 resnet50_ft_cifar10_a1.pth 90.04MB
81、 resnet50_ft_cifar10_a2.pth 90.04MB
82、 resnet50_ft_cifar10_a3.pth 90.04MB
83、 resnet50_ft_cifar10_pt.pth 90.04MB
84、 resnet50_ft_flowers_a1.pth 90.76MB
85、 resnet50_ft_flowers_a2.pth 90.76MB
86、 resnet50_ft_flowers_a3.pth 90.76MB
87、 resnet50_ft_flowers_pt.pth 90.76MB
88、 resnet50_ft_inat19_a1.pth 97.86MB
89、 resnet50_ft_inat19_a2.pth 97.86MB
90、 resnet50_ft_inat19_a3.pth 97.86MB
91、 resnet50_ft_inat19_pt.pth 97.86MB
92、 resnet50_gn_a1h2-8fe6c4d0.pth 97.51MB
93、 resnetaa50_a1h-4cf422b3.pth 97.74MB
94、 resnetv2_101_a1h-5d01f016.pth 170.38MB
95、 resnetv2_50_a1h-000cdf49.pth 97.68MB
96、 resnext50_32x4d_a1h-0146ab0a.pth 95.78MB
97、 resnext50_32x4d_a1_0-b5a91a1d.pth 95.78MB
98、 resnext50_32x4d_a2_0-efc76add.pth 95.78MB
99、 resnext50_32x4d_a3_0-3e450271.pth 95.78MB
100、 seresnet50_a1_0-ffa00869.pth 107.4MB
101、 seresnet50_a2_0-850de0d9.pth 107.4MB
102、 seresnet50_a3_0-317ecd56.pth 107.4MB
103、 tf_efficientnet_b0_a1_0-9188dd46.pth 20.38MB
104、 tf_efficientnet_b0_a2_0-48bede62.pth 20.38MB
105、 tf_efficientnet_b0_a3_0-94e799dc.pth 20.38MB
106、 tf_efficientnet_b1_a1_0-b55e845c.pth 30.04MB
107、 tf_efficientnet_b1_a2_0-d342a7bf.pth 30.04MB
108、 tf_efficientnet_b1_a3_0-ee9f9669.pth 30.04MB
109、 tf_efficientnet_b2_a1_0-f1382665.pth 35.08MB
110、 tf_efficientnet_b2_a2_0-ae4f4996.pth 35.08MB
111、 tf_efficientnet_b2_a3_0-61f0f688.pth 35.08MB
112、 tf_efficientnet_b3_a1_0-efc81b92.pth 47.07MB
113、 tf_efficientnet_b3_a2_0-e183dbec.pth 47.07MB
114、 tf_efficientnet_b3_a3_0-0a50fa9a.pth 47.07MB
115、 tf_efficientnet_b4_a1_0-182bef54.pth 74.35MB
116、 tf_efficientnet_b4_a2_0-bc5f172e.pth 74.35MB
117、 tf_efficientnet_b4_a3_0-a6a8179a.pth 74.35MB