Franck FOTSO

Middlesbrough, England, United Kingdom Contact Info
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Computer Vision Engineer with an MSc. Computing, over four years in Computer…

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  • Direct Line Supplies ltd

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Publications

  • Region-based Deep Hashing for Multi-Instance Aware Image Retrieval

    IEEE

    This paper introduces an instance-aware hashing approach for large-scale multi-label image retrieval. The proposed method relies on the assumption that a more accurate object bounds lead to a better hashing of instance features. From this assumption, we design a unified deep neural network which simultaneously learns object locations, classes, and hashing functions to build efficient binary codes. Region-DH is designed in the way to have a high interest in each found object and build compact…

    This paper introduces an instance-aware hashing approach for large-scale multi-label image retrieval. The proposed method relies on the assumption that a more accurate object bounds lead to a better hashing of instance features. From this assumption, we design a unified deep neural network which simultaneously learns object locations, classes, and hashing functions to build efficient binary codes. Region-DH is designed in the way to have a high interest in each found object and build compact binary codes which involve more foreground patterns. Region-DH is flexible and can be improved with existing deep neural networks (as backbone) or more complex object detectors. Many experiments performed on benchmark datasets show the effectiveness and robustness of Region-DH regarding the state-of-the-art hashing methods.

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  • French

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  • English

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