{"id":13525990,"url":"https://github.com/yxu0611/Tensorflow-implementation-of-LCNN","last_synced_at":"2025-04-01T06:30:52.427Z","repository":{"id":216010976,"uuid":"104062621","full_name":"yxu0611/Tensorflow-implementation-of-LCNN","owner":"yxu0611","description":"A Tensorflow implementation of \"A Light CNN for Deep Face Representation with Noisy Labels\"","archived":false,"fork":false,"pushed_at":"2018-01-09T05:10:49.000Z","size":114,"stargazers_count":78,"open_issues_count":6,"forks_count":12,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-11-02T10:34:09.591Z","etag":null,"topics":["face-recognition","face-verification","lightcnn","tensorflow"],"latest_commit_sha":null,"homepage":"","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/yxu0611.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":"2017-09-19T10:46:52.000Z","updated_at":"2023-04-20T08:36:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"3be09a80-cbb4-40b0-b6f7-571decb88622","html_url":"https://github.com/yxu0611/Tensorflow-implementation-of-LCNN","commit_stats":null,"previous_names":["yxu0611/tensorflow-implementation-of-lcnn"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yxu0611%2FTensorflow-implementation-of-LCNN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yxu0611%2FTensorflow-implementation-of-LCNN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yxu0611%2FTensorflow-implementation-of-LCNN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yxu0611%2FTensorflow-implementation-of-LCNN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yxu0611","download_url":"https://codeload.github.com/yxu0611/Tensorflow-implementation-of-LCNN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246596614,"owners_count":20802855,"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":["face-recognition","face-verification","lightcnn","tensorflow"],"created_at":"2024-08-01T06:01:24.110Z","updated_at":"2025-04-01T06:30:52.415Z","avatar_url":"https://github.com/yxu0611.png","language":"Python","funding_links":[],"categories":["Uncategorized","Github"],"sub_categories":["Uncategorized"],"readme":"#  Light CNN for Deep Face Recognition, in Tensorflow\nA Tensorflow implementation of [A Light CNN for Deep Face Representation with Noisy Labels](https://arxiv.org/abs/1511.02683) from the paper by Xiang Wu \n\n## Updates\n- Jan 9, 2018\n\t- Add cleaned training list 10K and 70K.\n- Sep 20, 2017\n\t- Add model and evaluted code.\n\t- Add training code.\n- Sep 19, 2017\n\t- The repository was built.\n\n\n## Datasets\n- Training data\n\t- Download face dataset [MS-Celeb-1M (Aligned)](http://www.msceleb.org/download/aligned).\n\t- All face images are RGB images and resize to **122x144** \n\t- Download MS-Celeb-1M cleaned image_list [10K](https://1drv.ms/t/s!AleP5K29t5x7ge87YS8Ue92h8JDDMw), [70K](https://1drv.ms/t/s!AleP5K29t5x7gfEu_3My1D3lgDhLlQ)\n- Testing data\n\t- Download aligned LFW (122*144) [images](https://1drv.ms/u/s!AleP5K29t5x7ge88rngfpitnvpkZbw) and [list](https://1drv.ms/t/s!AleP5K29t5x7ge9DV6jfHo392ONwCA)\n\n## Training \n- Add\n\n## Evaluation\n- Download [LCNN-29 model](https://1drv.ms/f/s!AleP5K29t5x7ge89GqB3Ue_Pe5rN3A), this model's performance on LFW:98.2% (100%-EER)\n- Download [LFW features](https://1drv.ms/u/s!AleP5K29t5x7ge9ElofW_tDzxCq5sw)\n\n## Performance\nThe Light CNN performance on lfw 6,000 pairs.   \n\n|   Model | traing data\t| method | Acc\t|100% - EER | TPR@FAR=1%   | TPR@FAR=0.1%| TPR@FAR=0| \n| :------- | :----: | :----: | :----:| :----: | :---: | :---: |:---: | \n| LightCNN-29 (Wu Xiang)| 70K/-\t|Softmax|   -\t|99.40% | 99.43% | 98.67% | 95.70% |\n| LightCNN-29 (Tensorflow)|10K/- |Softmax|98.36%\t|98.2% |    97.73%    |    92.26%  |    60.53%  | \n| LightCNN-29 (Tensorflow)|10K/- |Softmax+L2+PCA|98.76%\t|98.66% |    98.36%    |    97%  |    79.33%  |\n| LightCNN-29 (Tensorflow)|10K/- |Softmax+L2+PCA+[b]|98.95%\t|98.8% |    98.76%    |    97.16%  |    83.36%  |\n| LightCNN-29 (Tensorflow)|10K/- |Softmax_enforce+L2+PCA+[b]|99.01%\t|98.96% |    98.96%    |    95.83%  |    90.23%  |\n\n|   Model | traing data\t| method | Acc\t|100% - EER | TPR@FAR=1%   | TPR@FAR=0.1%| TPR@FAR=0| \n| :------- | :----: | :----: | :----:| :----: | :---: | :---: |:---: | \n| LightCNN-29 (Wu Xiang)| 70K/-\t|Softmax|   -\t|99.40% | 99.43% | 98.67% | 95.70% |\n| LightCNN-29 (Tensorflow)|70K/- |Softmax_enforce+L2+PCA|99.18%\t|98.9% |    98.86%    |    97.9%  |    94.03%  |\n| LightCNN-29 (Tensorflow)|70K/- |Softmax_enforce+L2+PCA+[a]|99.48%\t|99.43% |    99.56%    |    98.26%  |    94.53%  |\n\n\nSome improved solutions:\n- [a] It can be further improved by manaully aligned these images which are mis-algined in LFW\n- [b] It can be further improved by doing mutiple-crop, e.g. 25 crops for per image\n- [c] It can be further improved by ensemble different models\n- [d] It can be further improved by adding metric learning method for similarity caculation\n\n## Referencs\n- [Original Light CNN implementation (caffe)](https://github.com/AlfredXiangWu/face_verification_experiment).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyxu0611%2FTensorflow-implementation-of-LCNN","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyxu0611%2FTensorflow-implementation-of-LCNN","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyxu0611%2FTensorflow-implementation-of-LCNN/lists"}