In this paper, we address a practical problem of crossscenario clothing retrieval - given a daily human photo captured in general environment, e.g., on street, finding similar clothing in online shops, where the photos are captured more professionally and with clean background. There are large discrepancies between daily photo scenario and online shopping scenario. We first propose to alleviate the human pose discrepancy by locating 30 human parts detected by a well trained human detector. Then, founded on part features, we propose a two-step calculation to obtain more reliable one-to-many similarities between the query daily photo and online shopping photos: 1) the within-scenario one-to-many similarities between a query daily photo and the auxiliary set are derived by direct sparse reconstruction; and 2) by a crossscenario many-to-many similarity transfer matrix inferred offline from an extra auxiliary set and the online shopping set, the reliable cross-scenario one-to-many similarities between the query daily photo and all online shopping photos are obtained. We collect a large online shopping dataset and a daily photo dataset, both of which are thoroughly labeled with 15 clothing attributes via Mechanic Turk. The extensive experimental evaluations on the collected datasets well demonstrate the effectiveness of the proposed framework for crossscenario clothing retrieval.
- 1
- 粉丝: 0
- 资源: 1
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 常用工具集参考用于图像等数据处理
- 音乐展示网页、基于Stenography的图像数字水印添加与提取,以及基于颜色矩和Tamura算法的图像相似度评估算法py源码
- 基于EmguCV(OpenCV .net封装),图像数字水印加解密算法的实现,其中包含最低有效位算法,离散傅里叶变换算法+文档书
- 基于matlab+DWT的图像水印项目,数字水印+源代码+文档说明+图片+报告pdf
- (优秀毕业设计)基于python实现的数字图像可视化水印系统的设计与实现,多种数字算法实现+源代码+文档说明+理论演示pdf
- 基于DWT-DCT-SVD和deflate压缩的数字水印方法python源码+Gui界面+演示视频(高分毕业设计)
- 基于matlab实现DWT、DCT、SVD算法数字图像水印可视化系统+GUI界面+文档说明+详细注释(高分毕业设计)
- NCIAE-Data-Structure大一大二笔记
- 学习wireshark笔记
- digital-image-数据可视化笔记