{"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/r2cnn-rotational-region-cnn-for-orientation","title":"R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection","arxiv_id":"1706.09579","date":"2017-06-29","proceeding":null,"authors":["Yingying Jiang","Xiangyu Zhu","Xiaobing Wang","Shuli Yang","Wei Li","Hua Wang","Pei Fu","Zhenbo Luo"],"abstract":"In this paper, we propose a novel method called Rotational Region CNN (R2CNN)\nfor detecting arbitrary-oriented texts in natural scene images. The framework\nis based on Faster R-CNN [1] architecture. First, we use the Region Proposal\nNetwork (RPN) to generate axis-aligned bounding boxes that enclose the texts\nwith different orientations. Second, for each axis-aligned text box proposed by\nRPN, we extract its pooled features with different pooled sizes and the\nconcatenated features are used to simultaneously predict the text/non-text\nscore, axis-aligned box and inclined minimum area box. At last, we use an\ninclined non-maximum suppression to get the detection results. Our approach\nachieves competitive results on text detection benchmarks: ICDAR 2015 and ICDAR\n2013.","url_abs":"http://arxiv.org/abs/1706.09579v2","url_pdf":"http://arxiv.org/pdf/1706.09579v2.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":"r2cnn-rotational-region-cnn-for-orientation","repo_url":"https://github.com/dafanghe/Tensorflow_SceneText_Oriented_Box_Predictor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"region-proposal","task_name":"Region Proposal"},{"task_slug":"scene-text-detection","task_name":"Scene Text Detection"},{"task_slug":"text-detection","task_name":"Text Detection"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"faster-r-cnn","method_name":"Faster R-CNN"},{"method_slug":"rpn","method_name":"RPN"},{"method_slug":"roipool","method_name":"RoIPool"},{"method_slug":"softmax","method_name":"Softmax"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1706.09579","atlas_url":"https://app.syntology.ai/?focus=1706.09579","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1706.09579"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/dafanghe/Tensorflow_SceneText_Oriented_Box_Predictor","reach":null}],"summary":{"ran_honours":1},"by_repo_kind":{"listed":{"samples":1,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":1,"samples":[{"code_sha256_prefix":"88eef989a92fa8ff","entry":"polygon_area","repo":"dafanghe/Tensorflow_SceneText_Oriented_Box_Predictor","repo_kind":"listed","path":"create_text_dataset.py","file_url":"https://github.com/dafanghe/Tensorflow_SceneText_Oriented_Box_Predictor/blob/HEAD/create_text_dataset.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"88eef989a92fa8ff"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}