{"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/1st-place-solution-for-ava-kinetics-crossover","title":"1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020","arxiv_id":"2006.09116","date":"2020-06-16","proceeding":null,"authors":["Siyu Chen","Junting Pan","Guanglu Song","Manyuan Zhang","Hao Shao","Ziyi Lin","Jing Shao","Hongsheng Li","Yu Liu"],"abstract":"This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020. Our entry is mainly based on Actor-Context-Actor Relation Network. We describe technical details for the new AVA-Kinetics dataset, together with some experimental results. Without any bells and whistles, we achieved 39.62 mAP on the test set of AVA-Kinetics, which outperforms other entries by a large margin. Code will be available at: https://github.com/Siyu-C/ACAR-Net.","url_abs":"https://arxiv.org/abs/2006.09116v1","url_pdf":"https://arxiv.org/pdf/2006.09116v1.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":"1st-place-solution-for-ava-kinetics-crossover","repo_url":"https://github.com/Siyu-C/ACAR-Net","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"1st-place-solution-for-ava-kinetics-crossover","repo_url":"https://github.com/Mind23-2/MindCode-12","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"1st-place-solution-for-ava-kinetics-crossover","repo_url":"https://github.com/MindSpore-scientific/code-12/tree/main/AVA_hpa","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"action-localization","task_name":"Action Localization"},{"task_slug":"relation-network","task_name":"Relation Network"},{"task_slug":"spatio-temporal-action-localization","task_name":"Spatio-Temporal Action Localization"},{"task_slug":"action-recognition","task_name":"Temporal Action Localization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2006.09116","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}