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A typical\nopen set logo retrieval application is, for example, assessing the\neffectiveness of advertisement in sports event broadcasts. Given a query sample\nin shape of a logo image, the task is to find all further occurrences of this\nlogo in a set of images or videos. Currently, common logo retrieval approaches\nare unsuitable for this task because of their closed world assumption. Thus, an\nopen set logo retrieval method is proposed in this work which allows searching\nfor previously unseen logos by a single query sample. A two stage concept with\nseparate logo detection and comparison is proposed where both modules are based\non task specific CNNs. If trained with the Logos in the Wild data, significant\nperformance improvements are observed, especially compared with\nstate-of-the-art closed set approaches.","url_abs":"http://arxiv.org/abs/1710.10891v1","url_pdf":"http://arxiv.org/pdf/1710.10891v1.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":"open-set-logo-detection-and-retrieval","repo_url":"https://github.com/ilmonteux/logohunter","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1710.10891","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1710.10891"}},"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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