{"id":15657537,"url":"https://github.com/ducha-aiki/hesaff-pytorch","last_synced_at":"2026-03-16T08:02:05.824Z","repository":{"id":71374097,"uuid":"106708320","full_name":"ducha-aiki/hesaff-pytorch","owner":"ducha-aiki","description":"PyTorch implementation of Hessian-Affine local feature detector","archived":false,"fork":false,"pushed_at":"2017-11-22T10:45:36.000Z","size":60,"stargazers_count":26,"open_issues_count":0,"forks_count":4,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-30T22:11:15.354Z","etag":null,"topics":["cnn","convolutional-neural-networks","deep-learning","detector","hessian","hessian-affine","local-features","pytorch"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"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":null,"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":"2017-10-12T15:06:22.000Z","updated_at":"2025-02-27T13:15:27.000Z","dependencies_parsed_at":"2023-04-23T19:08:24.508Z","dependency_job_id":null,"html_url":"https://github.com/ducha-aiki/hesaff-pytorch","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%2Fhesaff-pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ducha-aiki%2Fhesaff-pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ducha-aiki%2Fhesaff-pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ducha-aiki%2Fhesaff-pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ducha-aiki","download_url":"https://codeload.github.com/ducha-aiki/hesaff-pytorch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252526503,"owners_count":21762516,"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":["cnn","convolutional-neural-networks","deep-learning","detector","hessian","hessian-affine","local-features","pytorch"],"created_at":"2024-10-03T13:07:57.348Z","updated_at":"2026-03-16T08:02:00.800Z","avatar_url":"https://github.com/ducha-aiki.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"This is implementation of Hessian-Affine local feature detector. \nIt is heavily based on Michal Perdoch C++ implementation https://github.com/perdoch/hesaff\n\npytaff - current implementation\nhesamp - Michal Perdoch C++ one.\n\n![average](/img/repeatability.png)\n\nThere are several differences:\n\n1) No SIFT description, the output is image patches. If one needs to, patches could be feed into [PyTorchSIFT](https://github.com/ducha-aiki/pytorch-sift)\n    \n2) Subpixel precision is done via \"center-of-responce-mass\" inspired by [LIFT](https://arxiv.org/abs/1603.09114) paper, instead of original iterative quadratic fitting\n    \n3) Instead of setting threshold to control number of detection, this implementation simply outputs top-K local extreme points. \n    \nYou also might be interested in [HesAffNet](https://github.com/ducha-aiki/affnet), which gives significantly better results because of learned affine shape estimation procedure.\n\nIf you use this code for academic purposes, please cite the following paper:\n\n```\n@article{AffNet2017,\n author = {Dmytro Mishkin, Filip Radenovic, Jiri Matas},\n    title = \"{Learning Discriminative Affine Regions via Discriminability}\",\n     year = 2017,\n    month = nov}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fducha-aiki%2Fhesaff-pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fducha-aiki%2Fhesaff-pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fducha-aiki%2Fhesaff-pytorch/lists"}