A Time Sequence Images Matching Method Based on the Siamese Network

Article Computer Science, Artificial Intelligence

Image Matching from Handcrafted to Deep Features: A Survey

Jiayi Ma et al.

Summary: Image matching is a fundamental task in various visual applications, and with the development of deep learning techniques, there has been an increasing number of methods proposed in this field. However, the challenge remains in choosing the suitable method for specific applications and designing image matching methods with superior performance. This comprehensive review and analysis provide insights into classical and latest techniques, and offer prospects for future development in image matching technologies.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2021)

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Article Chemistry, Multidisciplinary

Semantic Matching Based on Semantic Segmentation and Neighborhood Consensus

Huaiyuan Xu et al.

Summary: The algorithm enhances semantic matching accuracy by exploring neighborhood consensus patterns in 4D space and introducing semantic segmentation information to distinguish features better and reduce matching ambiguity.

APPLIED SCIENCES-BASEL (2021)

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Article Engineering, Multidisciplinary

Image-Label Recovery on Fashion Data Using Image Similarity from Triple Siamese Network

Debapriya Banerjee et al.

Summary: The research shows that weakly labeled data is inevitable in the field of artificial intelligence due to difficulties and missing labels in data labeling. Traditional supervised learning requires accurately labeled data, and researchers have used semi-supervised learning methods to recover missing labels from the dataset. Through techniques such as convolutional neural networks and graph Fourier transform, significant improvements have been achieved on the Fashion dataset.

TECHNOLOGIES (2021)

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Article Computer Science, Theory & Methods