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Fine-Grained Image Categorization by Localizing TinyObject Parts from Unannotated Images

Luming Zhang, Yi Yang, Roger Zimmermann
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bj3ypeajjfeb7pqvvlh5snru4a" style="color: black;">Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR &#39;15</a> </i> &nbsp;
Finally, the discovered graphlets from pairwise images are encoded into an image kernel for fine-grained recognition.  ...  This paper proposes a novel fine-grained image categorization model where no object annotation is required in the training/testing stage.  ...  This research has been supported by the Singapore National Research Foundation under its International Research Centre@ Singapore Funding Initiative and administered by the IDM Programme Office through  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2671188.2749299">doi:10.1145/2671188.2749299</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mir/ZhangYZ15.html">dblp:conf/mir/ZhangYZ15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/coufbrxljjeyrk4htu34zxqn7q">fatcat:coufbrxljjeyrk4htu34zxqn7q</a> </span>
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