%0 Journal Article %1 journals/fgcs/AhmadMBB18 %A Ahmad, Jamil %A Muhammad, Khan %A Bakshi, Sambit %A Baik, Sung Wook %D 2018 %J Future Gener. Comput. Syst. %K %P 314-330 %T Object-oriented convolutional features for fine-grained image retrieval in large surveillance datasets. %U http://dblp.uni-trier.de/db/journals/fgcs/fgcs81.html#AhmadMBB18 %V 81

@article{journals/fgcs/AhmadMBB18, added-at = {2023-12-12T21:28:46.000+0100}, author = {Ahmad, Jamil and Muhammad, Khan and Bakshi, Sambit and Baik, Sung Wook}, biburl = {https://www.bibsonomy.org/bibtex/2e92bac5312e41a934851d796bb10950a/admin}, ee = {https://doi.org/10.1016/j.future.2017.11.002}, interhash = {3eca6f1cda6b9471a6e7d34d3490352c}, intrahash = {e92bac5312e41a934851d796bb10950a}, journal = {Future Gener. Comput. Syst.}, keywords = {}, pages = {314-330}, timestamp = {2023-12-12T21:28:46.000+0100}, title = {Object-oriented convolutional features for fine-grained image retrieval in large surveillance datasets.}, url = {http://dblp.uni-trier.de/db/journals/fgcs/fgcs81.html#AhmadMBB18}, volume = 81, year = 2018 }