TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization-Reference-Cited by-同舟云学术

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TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
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Author:

Xu Yifan¹,Shamsolmoali Pourya¹,Granger Eric²,Nicodeme Claire³,Gardes Laurent³,Yang Jie¹

Affiliation:

1. Shanghai Jiao Tong University

2. ETS Montreal

3. SNCF Paris

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030454.pdf?arnumber=10030454

Reference42 articles.

1. Searching for MobileNetV3

2. Going deeper with convolutions

3. Cross-view geo-localization with layer-to-layer transformer;yang;Adv Neural Inform Process Syst,2021

4. Visualizing Deep Similarity Networks

5. Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Retrieval Using Multilayer Feature Aggregation Histogram;Cognitive Computation;2024-08-27

2. Image retrieval using unsupervised prompt learning and regional attention;Expert Systems with Applications;2024-08

3. Spatial Gating with Hybrid Receptive Field for Robot Visual Localization;International Journal of Computational Intelligence Systems;2024-05-27

4. Convolutional MLP orthogonal fusion of multiscale features for visual place recognition;Scientific Reports;2024-05-23

5. CSPFormer: A cross-spatial pyramid transformer for visual place recognition;Neurocomputing;2024-05

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