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To model statistical\ndependencies between the entities, we set up a simple binary classification\nproblem in which the goal is to predict if two visual primitives occur in the\nsame spatial or temporal context. We apply this framework to three domains:\nlearning patch affinities from spatial adjacency in images, learning frame\naffinities from temporal adjacency in videos, and learning photo affinities\nfrom geospatial proximity in image collections. We demonstrate that in each\ncase the learned affinities uncover meaningful semantic groupings. From patch\naffinities we generate object proposals that are competitive with\nstate-of-the-art supervised methods. From frame affinities we generate movie\nscene segmentations that correlate well with DVD chapter structure. Finally,\nfrom geospatial affinities we learn groups that relate well to semantic place\ncategories.","url_abs":"http://arxiv.org/abs/1511.06811v1","url_pdf":"http://arxiv.org/pdf/1511.06811v1.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":"learning-visual-groups-from-co-occurrences-in","repo_url":"https://github.com/benblack769/sound-eval","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"learning-visual-groups-from-co-occurrences-in","repo_url":"https://github.com/weepingwillowben/sound-eval","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"binary-classification","task_name":"Binary Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1511.06811","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1511.06811"}},"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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