{"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/what-actions-are-needed-for-understanding","title":"What Actions are Needed for Understanding Human Actions in Videos?","arxiv_id":"1708.02696","date":"2017-08-09","proceeding":"ICCV 2017 10","authors":["Gunnar A. Sigurdsson","Olga Russakovsky","Abhinav Gupta"],"abstract":"What is the right way to reason about human activities? What directions\nforward are most promising? In this work, we analyze the current state of human\nactivity understanding in videos. The goal of this paper is to examine\ndatasets, evaluation metrics, algorithms, and potential future directions. We\nlook at the qualitative attributes that define activities such as pose\nvariability, brevity, and density. The experiments consider multiple\nstate-of-the-art algorithms and multiple datasets. The results demonstrate that\nwhile there is inherent ambiguity in the temporal extent of activities, current\ndatasets still permit effective benchmarking. We discover that fine-grained\nunderstanding of objects and pose when combined with temporal reasoning is\nlikely to yield substantial improvements in algorithmic accuracy. We present\nthe many kinds of information that will be needed to achieve substantial gains\nin activity understanding: objects, verbs, intent, and sequential reasoning.\nThe software and additional information will be made available to provide other\nresearchers detailed diagnostics to understand their own algorithms.","url_abs":"http://arxiv.org/abs/1708.02696v1","url_pdf":"http://arxiv.org/pdf/1708.02696v1.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":"what-actions-are-needed-for-understanding","repo_url":"https://github.com/gsig/actions-for-actions","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1708.02696","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1708.02696"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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