{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-strong-and-reproducible-object-detector","title":"A Strong and Reproducible Object Detector with Only Public Datasets","arxiv_id":"2304.13027","date":"2023-04-25","proceeding":null,"authors":["Tianhe Ren","Jianwei Yang","Shilong Liu","Ailing Zeng","Feng Li","Hao Zhang","Hongyang Li","Zhaoyang Zeng","Lei Zhang"],"abstract":"This work presents Focal-Stable-DINO, a strong and reproducible object detection model which achieves 64.6 AP on COCO val2017 and 64.8 AP on COCO test-dev using only 700M parameters without any test time augmentation. It explores the combination of the powerful FocalNet-Huge backbone with the effective Stable-DINO detector. Different from existing SOTA models that utilize an extensive number of parameters and complex training techniques on large-scale private data or merged data, our model is exclusively trained on the publicly available dataset Objects365, which ensures the reproducibility of our approach.","url_abs":"https://arxiv.org/abs/2304.13027v1","url_pdf":"https://arxiv.org/pdf/2304.13027v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-strong-and-reproducible-object-detector","repo_url":"https://github.com/microsoft/FocalNet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"a-strong-and-reproducible-object-detector","repo_url":"https://github.com/idea-research/stabledino","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"a-strong-and-reproducible-object-detector","repo_url":"https://github.com/idea-research/stable-dino","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[{"method_slug":"test","method_name":"Test"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/object-detection-on-coco-minival","task":"Object Detection","dataset":"COCO minival","model":"Focal-Stable-DINO (Focal-Huge, no TTA)","rank_in_archive_order":6,"of":220,"metrics":{"AP50":"81.5","AP75":"71.4","APL":"78.5","APM":"68.5","APS":"50.4","Params (M)":"689","box AP":"64.6"},"uses_additional_data":true},{"leaderboard":"/sota/object-detection-on-coco","task":"Object Detection","dataset":"COCO test-dev","model":"Focal-Stable-DINO (Focal-Huge, no TTA)","rank_in_archive_order":5,"of":225,"metrics":{"AP50":"81.7","AP75":"71.5","APL":"78","APM":"67.6","APS":"48.6","Params (M)":"689","box mAP":"64.8"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2304.13027","atlas_url":"https://app.syntology.ai/?focus=2304.13027","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}