{"action":"opened","issue":{"url":"https://api.github.com/repos/Swall0w/papers/issues/406","repository_url":"https://api.github.com/repos/Swall0w/papers","labels_url":"https://api.github.com/repos/Swall0w/papers/issues/406/labels{/name}","comments_url":"https://api.github.com/repos/Swall0w/papers/issues/406/comments","events_url":"https://api.github.com/repos/Swall0w/papers/issues/406/events","html_url":"https://github.com/Swall0w/papers/issues/406","id":320517680,"number":406,"title":"IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection","user":{"login":"Swall0w","id":9757156,"avatar_url":"https://avatars2.githubusercontent.com/u/9757156?v=4","gravatar_id":"","url":"https://api.github.com/users/Swall0w","html_url":"https://github.com/Swall0w","followers_url":"https://api.github.com/users/Swall0w/followers","following_url":"https://api.github.com/users/Swall0w/following{/other_user}","gists_url":"https://api.github.com/users/Swall0w/gists{/gist_id}","starred_url":"https://api.github.com/users/Swall0w/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Swall0w/subscriptions","organizations_url":"https://api.github.com/users/Swall0w/orgs","repos_url":"https://api.github.com/users/Swall0w/repos","events_url":"https://api.github.com/users/Swall0w/events{/privacy}","received_events_url":"https://api.github.com/users/Swall0w/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-05-05T15:25:16Z","updated_at":"2018-05-05T15:25:16Z","closed_at":null,"author_association":"OWNER","body":"Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin\r\n\r\nIncidental scene text detection, especially for multi-oriented text regions, is one of the most challenging tasks in many computer vision applications. Different from the common object detection task, scene text often suffers from a large variance of aspect ratio, scale, and orientation. To solve this problem, we propose a novel end-to-end scene text detector IncepText from an instance-aware segmentation perspective. We design a novel Inception-Text module and introduce deformable PSROI pooling to deal with multi-oriented text detection. Extensive experiments on ICDAR2015, RCTW-17, and MSRA-TD500 datasets demonstrate our method's superiority in terms of both effectiveness and efficiency. Our proposed method achieves 1st place result on ICDAR2015 challenge and the state-of-the-art performance on other datasets. Moreover, we have released our implementation as an OCR product which is available for public access.\r\n\r\nhttps://arxiv.org/abs/1805.01167"}}
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