深度学习模型能准确测量视觉目的地图像吗?微调模型与过去工作的比较

IF 6.3 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
Lyndon J. B. Nixon
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引用次数: 0

摘要

对于希望做出更好决策并吸引更多游客前往目的地的目的地管理者和营销人员而言,通过网络摄影等视觉媒体对目的地形象进行测量的意义日益重大。然而,目前还没有一种方法能够准确地完成这项工作。我们提出了一种新方法,即针对一组预定的目的地图像认知属性,对深度学习模型进行微调。然后,我们使用贴有标签的旅游照片训练最先进的神经网络,并将结果与针对同一组视觉类别建立的地面实况数据集进行比较,以测试准确性。将我们的微调模型与以往方法的结果进行比较,我们发现未经微调的预训练模型在捕捉目的地图像的所有认知属性方面不够准确。据我们所知,这是第一个经过专门训练的深度学习计算机视觉模型,用于测量摄影作品中目的地图像的认知成分,可作为未来系统的基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Do deep learning models accurately measure visual destination image? A comparison of a fine-tuned model to past work

Do deep learning models accurately measure visual destination image? A comparison of a fine-tuned model to past work

The measurement of destination image from visual media such as online photography is of growing significance to destination managers and marketers who want to make better decisions and attract more visitors to their destination. However, there is no single approach with proven accuracy for doing this. We present a new approach where we fine-tune a deep learning model for a predetermined set of cognitive attributes of destination image. We then train state of the art neural networks using labelled tourist photography and test accuracy by comparing results with a ground truth dataset built for the same set of visual classes. Comparing our fine-tuned model against results which follow past approaches, we demonstrate that the pre-trained models without fine-tuning are not as accurate in capturing all of the destination image’s cognitive attributes. This is, to the best of our knowledge, the first deep learning computer vision model trained specifically to measure the cognitive component of destination image from photography and can act as a benchmark for future systems.

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来源期刊
Information Technology & Tourism
Information Technology & Tourism HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
18.10
自引率
5.40%
发文量
22
期刊介绍: Information Technology & Tourism stands as the pioneer interdisciplinary journal dedicated to exploring the essence and impact of digital technology in tourism, travel, and hospitality. It delves into challenges emerging at the crossroads of IT and the domains of tourism, travel, and hospitality, embracing perspectives from both technical and social sciences. The journal covers a broad spectrum of topics, including but not limited to the development, adoption, use, management, and governance of digital technology. It supports both theory-focused research and studies with direct relevance to the industry.
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