Deep convolution neural network with context based expanded neighbourhoods distance re-ranking model for person re-identification

Jayavarthini, C.; Malathy, S.

doi:10.1007/s11042-021-11795-y

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2024

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Cited by 3 publications

References 15 publications

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Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems

Ramchandani,

Sahu,

Dewangan

2024

Lecture Notes in Electrical Engineering

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Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems

Ramchandani,

Sahu,

Dewangan

2024

Lecture Notes in Electrical Engineering

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Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features

Chouchane,

Bessaoudi,

Kheddar

et al. 2024

Engineering Applications of Artificial Intelligence

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Feature Fusion-Based Re-Ranking for Home Textile Image Retrieval

Miao,

Yao,

Zeng

et al. 2024

Mathematics

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In existing image retrieval algorithms, negative samples often appear at the forefront of retrieval results. To this end, in this paper, we propose a feature fusion-based re-ranking method for home textile image retrieval, which utilizes high-level semantic similarity and low-level texture similarity information of an image and strengthens the feature expression via late fusion. Compared with single-feature re-ranking, the proposed method combines the ranking diversity of multiple features to improve the retrieval accuracy. In our re-ranking process, Markov random walk is used to update the similarity metrics, and we propose local constraint diffusion based on contextual similarity. Finally, the fusion–diffusion algorithm is used to optimize the sorted list via combining multiple similarity metrics. We set up a large-scale home textile image dataset, which contains 89k home textile product images from 12k categories, and evaluate the image retrieval performance of the proposed model with the Recall@k and mAP@K metrics. The experimental results show that the proposed re-ranking method can effectively improve the retrieval results and enhance the performance of home textile image retrieval.

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Deep convolution neural network with context based expanded neighbourhoods distance re-ranking model for person re-identification

Cited by 3 publications

References 15 publications

Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems

Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems

Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features

Feature Fusion-Based Re-Ranking for Home Textile Image Retrieval

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