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Discriminative Cellets Discovery for Fine-Grained Image Categories Retrieval

Luming Zhang, Yi Yang, Roger Zimmermann
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bj3ypeajjfeb7pqvvlh5snru4a" style="color: black;">Proceedings of International Conference on Multimedia Retrieval - ICMR &#39;14</a> </i> &nbsp;
Fine-grained image categories recognition is a challenging task aiming at distinguishing objects belonging to the same basic-level category, such as leaf or mushroom.  ...  On the basis of the feature vector built from the selected cellets, fine-grained image categorization is conducted by training a linear SVM.  ...  Algorithm 2 Cellet-Encoded Spatial Pyramid for Fine- grained Image Categorization //training stage input: A set of training images {I1, I2, · · · , IN } labeled by the fine-grained image categories;  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2578726.2578736">doi:10.1145/2578726.2578736</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mir/ZhangYZ14.html">dblp:conf/mir/ZhangYZ14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iumrwuj6szfmdjyfnix5lz4dgi">fatcat:iumrwuj6szfmdjyfnix5lz4dgi</a> </span>
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