{"id":13442786,"url":"https://github.com/Gorilla-Lab-SCUT/TTAC","last_synced_at":"2025-03-20T15:30:50.995Z","repository":{"id":37337538,"uuid":"498350726","full_name":"Gorilla-Lab-SCUT/TTAC","owner":"Gorilla-Lab-SCUT","description":"[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering","archived":false,"fork":false,"pushed_at":"2023-10-06T06:01:39.000Z","size":1386,"stargazers_count":45,"open_issues_count":0,"forks_count":4,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-10-28T05:59:51.881Z","etag":null,"topics":["deep-learning","domain-adaptation","pseudo-labeling","test-time-adaptation","test-time-training"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/2206.02721","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Gorilla-Lab-SCUT.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-05-31T13:35:50.000Z","updated_at":"2024-10-28T01:51:51.000Z","dependencies_parsed_at":"2022-08-18T03:45:19.007Z","dependency_job_id":null,"html_url":"https://github.com/Gorilla-Lab-SCUT/TTAC","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gorilla-Lab-SCUT%2FTTAC","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gorilla-Lab-SCUT%2FTTAC/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gorilla-Lab-SCUT%2FTTAC/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gorilla-Lab-SCUT%2FTTAC/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gorilla-Lab-SCUT","download_url":"https://codeload.github.com/Gorilla-Lab-SCUT/TTAC/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244639916,"owners_count":20485951,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","domain-adaptation","pseudo-labeling","test-time-adaptation","test-time-training"],"created_at":"2024-07-31T03:01:50.688Z","updated_at":"2025-03-20T15:30:50.479Z","avatar_url":"https://github.com/Gorilla-Lab-SCUT.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# TTAC\n\nThis repository is an official implementation for our NeurIPS 2022 paper [\\[Arxiv\\]](https://arxiv.org/abs/2206.02721) [\\[Openreview\\]](https://openreview.net/forum?id=W-_4hgRkwb).\n\nWe implement a plug and play version of TTAC without queue on another work [repo](https://github.com/Gorilla-Lab-SCUT/TRIBE/blob/master/core/adapter/ttac.py).\n\n## Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering\n\n**Yongyi Su\u003csup\u003e1\u003c/sup\u003e** \u0026nbsp; **Xun Xu\u003csup\u003e21\u003c/sup\u003e** \u0026nbsp; **Kui Jia\u003csup\u003e13\u003c/sup\u003e**\n\u003cbr\u003e\n\u003csup\u003e1\u003c/sup\u003eSouth China University of Technology \u0026nbsp; \u003csup\u003e2\u003c/sup\u003eInstitute for Infocomm Research \u0026nbsp; \u003csup\u003e3\u003c/sup\u003ePeng Cheng Laboratory\n\u003cbr\u003e\n\n\n### Overview\n\n![](./imgs/Overview_v1.png)\n\n\n### CIFAR10/100\n\nThe code is released in the [cifar](cifar) folder.\n\n### ImageNet-C\n\nThe code is released in the [imagenet](imagenet) folder.\n\n### Citation\n\nIf you find our work useful in your research, please consider citing:\n\n```bibtex\n@inproceedings{\n  su2022revisiting,\n  title={Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering},\n  author={Yongyi Su and Xun Xu and Kui Jia},\n  booktitle={Advances in Neural Information Processing Systems},\n  editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},\n  year={2022},\n  url={https://openreview.net/forum?id=W-_4hgRkwb}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGorilla-Lab-SCUT%2FTTAC","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FGorilla-Lab-SCUT%2FTTAC","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGorilla-Lab-SCUT%2FTTAC/lists"}