Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Deep Supervised Hashing by Fusing Multiscale Deep Features

Version 1 : Received: 22 September 2023 / Approved: 25 September 2023 / Online: 26 September 2023 (05:13:58 CEST)

How to cite: ADIL, R.; Kamel, B.; Amina, B. Deep Supervised Hashing by Fusing Multiscale Deep Features. Preprints 2023, 2023091699. https://doi.org/10.20944/preprints202309.1699.v1 ADIL, R.; Kamel, B.; Amina, B. Deep Supervised Hashing by Fusing Multiscale Deep Features. Preprints 2023, 2023091699. https://doi.org/10.20944/preprints202309.1699.v1

Abstract

Deep networks-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable structural information that contains important semantic details crucial for effective hash learning. To address this limitation and improve image retrieval accuracy, we propose a novel deep hashing method called Deep Supervised Hashing by Fusing Multiscale Deep Features (DSHFMDF). Our approach involves extracting multiscale features from multiple convolutional layers and fusing them to generate more robust representations for efficient image retrieval. Experimental results on CIFAR10 and NUS-WIDE datasets demonstrate that our method surpasses the performance of state-of-the-art hashing techniques.

Keywords

Image retrieval, Deep learning, Multi-scale feature, Deep supervised hashing .

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.