Discriminatively-learned Patch Selection for Image Retrieval with CNN
碩士 === 國立交通大學 === 多媒體工程研究所 === 103 === In this thesis, targeting at advancing image retrieval tasks, we propose a discriminatively-learned patch selection process that improves the global image representation with local-CNN-features. Starting from MOP-CNN, we replace its sliding-window mechanism wit...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/30087191375234256091 |