Knowledge Commons of Institute of Automation,CAS
BigyaPAn: Deep Analysis of Old Paper Advertisement | |
Chandranath Adak1; Tao X(陶显)2![]() | |
2021-09 | |
会议名称 | IJCNN 2021: International Joint Conference on Neural Networks |
会议日期 | 2021-9 |
会议地点 | 深圳 |
摘要 | In this paper, we work on analyzing old paper advertisement (Ad). An Ad usually contains various types of textual and non-textual objects, which may also be in different orientations. We attempt to detect such objects from an early Indian-print paper Ad database comprising 1500 Ad images. The past major object detectors did not perform well on this database. We propose a deep reinforcement learning-based orientation-aware object detector. Our system learns by itself where to look and what to look of an Ad image. Therefore, it can bypass the impeding zone due to degraded image quality. To find the looking spot, we come up with a foveal transformation. In reinforcement learning, we present a scheme for shaping an internal reward with a top-up. For oriented object detection, we also propose a generic loss function. Our system obtained encouraging results from the experiments performed on the Ad database. |
收录类别 | EI |
七大方向——子方向分类 | 人工智能+制造 |
国重实验室规划方向分类 | 先进智能应用与转化 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57211 |
专题 | 中科院工业视觉智能装备工程实验室_精密感知与控制 |
作者单位 | 1.JIS University 2.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Chandranath Adak,Tao X. BigyaPAn: Deep Analysis of Old Paper Advertisement[C],2021. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
BigyaPAn_Deep_Analys(7853KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Chandranath Adak]的文章 |
[Tao X(陶显)]的文章 |
百度学术 |
百度学术中相似的文章 |
[Chandranath Adak]的文章 |
[Tao X(陶显)]的文章 |
必应学术 |
必应学术中相似的文章 |
[Chandranath Adak]的文章 |
[Tao X(陶显)]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论