Visual transformer-based image retrieval with multiple loss fusion

Huayong Liu; Cong Huang; Hanjun Jin; Xiaosi Fu; Pei Shi

doi:10.1117/12.2685738

15 August 2023 Visual transformer-based image retrieval with multiple loss fusion

Huayong Liu, Cong Huang, Hanjun Jin, Xiaosi Fu, Pei Shi

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127191N (2023) https://doi.org/10.1117/12.2685738
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

Through hash learning, the image retrieval based on deep hash algorithm encodes the image into a fixed length hash code for fast retrieval and matching. However, previous deep hash retrieval models based on convolutional neural networks extract local information of the image using pooling and convolution technology, which requires deeper networks to obtain long distance dependency, leading to high complexity and computation. In this paper, we propose a visual Transformer model based on self-attention to learn long dependencies of images and enhance the extraction ability of image features. Furthermore, a loss function with multiple loss fusion is proposed, which combines hash contrastive loss, classification loss, and quantization loss, to fully utilize image label information to improve the quality of hash coding by learning more potential semantic information. Experimental results demonstrate the superior performance of the proposed method over multiple classical deep hash retrieval methods based on CNN and two transformer-based hash retrieval methods, on two different datasets and different lengths of hash code.

Citation Download Citation

Huayong Liu, Cong Huang, Hanjun Jin, Xiaosi Fu, and Pei Shi "Visual transformer-based image retrieval with multiple loss fusion", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127191N (15 August 2023); https://doi.org/10.1117/12.2685738

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image retrieval

Transformers

Quantization

Image classification

Visualization

Feature extraction

Image processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years