Part-based fine-grained bird image retrieval respecting species correlation
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Pang, Cheng Heng; Li, Hongdong; Cherian, Anoop; Yao, Hongxun
Description
Most of the existing works on fine-grained bird image categorization and retrieval focus on finding similar images from the same species and often give little importance to inter-species similarity. In this paper, we devise a new fine-grained retrieval task that searches similar instances from different species. To this end, we propose a two-step strategy. In the first step, we search for visually similar parts to a query image using a deep convolutional neural network (CNN). To improve the...[Show more]
Collections | ANU Research Publications |
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Date published: | 2017 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/313086 |
Source: | Proceedings of the 2017 IEEE International Conference on Image Processing |
DOI: | 10.1109/ICIP.2017.8296812 |
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File | Description | Size | Format | Image |
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Part-based_fine-grained_bird_image_retrieval_respecting_species_correlation.pdf | 556.92 kB | Adobe PDF | Request a copy |
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