Application of attention mechanism in image search

Bingchen Gou; Chengfeng Cai

doi:10.1117/12.2667753

28 March 2023 Application of attention mechanism in image search

Bingchen Gou, Chengfeng Cai

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125661L (2023) https://doi.org/10.1117/12.2667753
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Under the background of high precision requirements of image search technology, new image search technologies emerge in an endless stream. Image search is one of the important research directions in deep learning. Among them, chromosome image search is a key step in medical imaging and modern genetic methods. In this paper, the principle of image search technology is analyzed, and a VGG16 neural network model using attention mechanism CBAM is presented to search for chromosome images. Finally, the optimization model is experimented and analyzed. The conclusion is that the addition of attention mechanism enhances the ability of the model to extract chromosome image features and efficiently completes the image search task. This method provides a new idea for the development of image search technology in the future.

Citation Download Citation

Bingchen Gou and Chengfeng Cai "Application of attention mechanism in image search", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125661L (28 March 2023); https://doi.org/10.1117/12.2667753

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