{"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-solution-to-product-detection-in-densely","title":"A Solution to Product detection in Densely Packed Scenes","arxiv_id":"2007.11946","date":"2020-07-23","proceeding":null,"authors":["Tianze Rong","Yanjia Zhu","Hongxiang Cai","Yichao Xiong"],"abstract":"This work is a solution to densely packed scenes dataset SKU-110k. Our work is modified from Cascade R-CNN. To solve the problem, we proposed a random crop strategy to ensure both the sampling rate and input scale is relatively sufficient as a contrast to the regular random crop. And we adopted some of trick and optimized the hyper-parameters. To grasp the essential feature of the densely packed scenes, we analysis the stages of a detector and investigate the bottleneck which limits the performance. As a result, our method obtains 58.7 mAP on test set of SKU-110k.","url_abs":"https://arxiv.org/abs/2007.11946v3","url_pdf":"https://arxiv.org/pdf/2007.11946v3.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-solution-to-product-detection-in-densely","repo_url":"https://github.com/Media-Smart/SKU110K-DenseDet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"a-solution-to-product-detection-in-densely","repo_url":"https://github.com/TanyaChutani/SSD-Tensorflow2.0","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"dense-object-detection","task_name":"Dense Object Detection"}],"methods":[{"method_slug":"cascade-r-cnn","method_name":"Cascade R-CNN"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/dense-object-detection-on-sku-110k","task":"Dense Object Detection","dataset":"SKU-110K","model":"Cascade-RCNN","rank_in_archive_order":2,"of":5,"metrics":{"AP":"58.7"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}