Title: GitHub - Res2Net/Res2Net-PretrainedModels: (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture" · GitHub
Open Graph Title: GitHub - Res2Net/Res2Net-PretrainedModels: (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
X Title: GitHub - Res2Net/Res2Net-PretrainedModels: (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
Description: (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture" - Res2Net/Res2Net-PretrainedModels
Open Graph Description: (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture" - Res2Net/Res2Net-PretrainedModels
X Description: (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture" - Res2Net/Res2Net-PretrainedModels
Opengraph URL: https://github.com/Res2Net/Res2Net-PretrainedModels
X: @github
Domain: github.com
| route-pattern | /:user_id/:repository |
| route-controller | files |
| route-action | disambiguate |
| fetch-nonce | v2:c2fb1fe6-046f-4b6c-a67d-9a9beb29b516 |
| current-catalog-service-hash | f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb |
| request-id | BC4E:2CAC3A:940B4C6:C7AE0AD:6A5E7B4A |
| html-safe-nonce | c3ac649a1cc03002d78b665491baae96af59fe3e61bf9d12a6b05bddc99aad4c |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCQzRFOjJDQUMzQTo5NDBCNEM2OkM3QUUwQUQ6NkE1RTdCNEEiLCJ2aXNpdG9yX2lkIjoiMjQ0Mzk0MDIxMTE1ODA1NTc1NCIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9 |
| visitor-hmac | 2321624ac43a5bc02d20b3fc4c46236a0b014380dc4154231d3f52bde43cd4da |
| hovercard-subject-tag | repository:195163550 |
| github-keyboard-shortcuts | repository,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/Res2Net/Res2Net-PretrainedModels |
| twitter:image | https://opengraph.githubassets.com/33dbbb1ddfb2ba438bae002e031e291241cd2246ab47ce8045cb5a9a241d2299/Res2Net/Res2Net-PretrainedModels |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/33dbbb1ddfb2ba438bae002e031e291241cd2246ab47ce8045cb5a9a241d2299/Res2Net/Res2Net-PretrainedModels |
| og:image:alt | (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture" - Res2Net/Res2Net-PretrainedModels |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 71950bbe6bf7e15662b868c102fed9d1682c29a05970d9b2daa2e4dd3522c52e |
| turbo-cache-control | no-cache |
| go-import | github.com/Res2Net/Res2Net-PretrainedModels git https://github.com/Res2Net/Res2Net-PretrainedModels.git |
| octolytics-dimension-user_id | 60423011 |
| octolytics-dimension-user_login | Res2Net |
| octolytics-dimension-repository_id | 195163550 |
| octolytics-dimension-repository_nwo | Res2Net/Res2Net-PretrainedModels |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 195163550 |
| octolytics-dimension-repository_network_root_nwo | Res2Net/Res2Net-PretrainedModels |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | 7514606601325843bc1c464d2d8bf5fe9af2c154 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width