{"id":13738083,"url":"https://github.com/kshitijd20/RSA-CVPR19-release","last_synced_at":"2025-05-08T15:32:33.485Z","repository":{"id":37068573,"uuid":"179211726","full_name":"kshitijd20/RSA-CVPR19-release","owner":"kshitijd20","description":"code for CVPR paper \"Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning\"","archived":false,"fork":false,"pushed_at":"2022-12-08T01:04:52.000Z","size":18794,"stargazers_count":26,"open_issues_count":9,"forks_count":8,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-11-15T06:33:21.384Z","etag":null,"topics":[],"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/kshitijd20.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}},"created_at":"2019-04-03T04:41:11.000Z","updated_at":"2023-09-07T12:05:12.000Z","dependencies_parsed_at":"2023-01-24T06:15:13.122Z","dependency_job_id":null,"html_url":"https://github.com/kshitijd20/RSA-CVPR19-release","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/kshitijd20%2FRSA-CVPR19-release","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kshitijd20%2FRSA-CVPR19-release/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kshitijd20%2FRSA-CVPR19-release/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kshitijd20%2FRSA-CVPR19-release/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kshitijd20","download_url":"https://codeload.github.com/kshitijd20/RSA-CVPR19-release/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253096436,"owners_count":21853601,"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":[],"created_at":"2024-08-03T03:02:10.713Z","updated_at":"2025-05-08T15:32:28.470Z","avatar_url":"https://github.com/kshitijd20.png","language":"Python","funding_links":[],"categories":["Python","Transfer learning \u0026 Domain Adaptation"],"sub_categories":["Other"],"readme":"* ***News!!! We introduced a new generic framework to measure similarity between tasks. Please find our [code](https://github.com/cvai-repo/duality-diagram-similarity) and [paper(accepted in ECCV 2020)](https://arxiv.org/abs/2008.02107). \n# CVPR_RSA_Taskonomy\ncode for CVPR paper [\"Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning\"](https://arxiv.org/abs/1904.11740)\n\nThis repo is build upon the code from the [Taskonomy paper](http://taskonomy.stanford.edu/).\n#### Step1 RDM creation\n\n1. Switch to taskonomy/taskbank\n2. Follow installation instructions and downloading pretrained models\n3. Download taskonomy images used for RDM creation [here](https://drive.google.com/open?id=1IwP1_lfLl88FXq0AvfmYWUtw1Z5e6urT)\n4. Change current directory to taskonomy/taskbank/tools directory\n5. Run python generate_features_taskonomy_500 --img_dir \"path to downloaded image directory\" --save_dir \"path to save features\"\n6. Run python create_taskonomy_RDMs_enc_final.py --feat_dir \"path to saved features\" --save_dir \"path to save RDMs\"\n\nP.S.: Make sure you have enough space as saved features require lot of space (67 GB).\n\n#### Step2 Download my forked copy of [RSA toolbox](https://github.com/kshitijd20/rsatoolbox)\n\n#### Step3 RSA analysis (generate figures from the paper)\n\n1. Change current directory to RSA_analysis\n2. run demo.m after modifying the rdm_dir, rsa_dir, and save_dir paths to corresponding paths in the demo.m to generate results for Figure 4 and 5 from the paper\n\nThe code to generate results for small models and pascal VOC will be released soon. For early access or any other queries please contact kshitijdwivedi93@gmail.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkshitijd20%2FRSA-CVPR19-release","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkshitijd20%2FRSA-CVPR19-release","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkshitijd20%2FRSA-CVPR19-release/lists"}