{"id":15635011,"url":"https://github.com/ducha-aiki/manifold-diffusion","last_synced_at":"2025-06-28T08:36:29.399Z","repository":{"id":71374152,"uuid":"134709687","full_name":"ducha-aiki/manifold-diffusion","owner":"ducha-aiki","description":"Diffusion on manifolds for image retrieval","archived":false,"fork":false,"pushed_at":"2020-01-08T16:38:28.000Z","size":6,"stargazers_count":126,"open_issues_count":0,"forks_count":23,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-28T19:44:59.327Z","etag":null,"topics":["diffusion","image-retrieval","manifold","python","reranking"],"latest_commit_sha":null,"homepage":null,"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/ducha-aiki.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-05-24T12:05:41.000Z","updated_at":"2024-09-02T02:54:07.000Z","dependencies_parsed_at":"2023-05-02T07:24:04.987Z","dependency_job_id":null,"html_url":"https://github.com/ducha-aiki/manifold-diffusion","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/ducha-aiki%2Fmanifold-diffusion","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ducha-aiki%2Fmanifold-diffusion/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ducha-aiki%2Fmanifold-diffusion/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ducha-aiki%2Fmanifold-diffusion/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ducha-aiki","download_url":"https://codeload.github.com/ducha-aiki/manifold-diffusion/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249067756,"owners_count":21207395,"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":["diffusion","image-retrieval","manifold","python","reranking"],"created_at":"2024-10-03T10:59:59.806Z","updated_at":"2025-04-15T11:52:46.522Z","avatar_url":"https://github.com/ducha-aiki.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"This is simple python re-implementation of the algorithms from papers \nIscen.et.al \"[Fast Spectral Ranking for Similarity Search](https://arxiv.org/abs/1703.06935)\", CVPR2018\nand Iscen et.al \"[Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations](https://arxiv.org/abs/1611.05113)\" CVPR 2017. \n\nIt is NOT authors implementation and some parts, e.g. sparsification, truncation, etc. are missing.\n\nExample of usage: copy files into [python](https://github.com/filipradenovic/revisitop/tree/master/python) directory of the RevisitOP benchmark and run \n\n    python example_evaluate_with_diff.py\n\nExpected output:\n    \n    Plain\n    \u003e\u003e roxford5k: mAP E: 84.81, M: 64.67, H: 38.47\n    \u003e\u003e roxford5k: mP@k[ 1  5 10] E: [ 97.06  85.29  70.59], M: [ 97.14  82.86  64.29], H: [ 81.43  31.43  22.86]\n    Conjugate gradient\n    \u003e\u003e roxford5k: mAP E: 86.42, M: 72.52, H: 48.56\n    \u003e\u003e roxford5k: mP@k[ 1  5 10] E: [ 92.65  91.18  82.35], M: [ 92.86  87.14  75.71], H: [ 87.14  41.43  27.14]\n    Spectral K=100, R=2000\n    \u003e\u003e roxford5k: mAP E: 86.5, M: 72.0, H: 45.7\n    \u003e\u003e roxford5k: mP@k[ 1  5 10] E: [ 94.12  91.18  80.88], M: [ 94.29  82.86  70.  ], H: [ 81.43  41.43  22.86]\n\n    ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fducha-aiki%2Fmanifold-diffusion","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fducha-aiki%2Fmanifold-diffusion","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fducha-aiki%2Fmanifold-diffusion/lists"}