MCCG: A ConvNeXt-based multiple-classifier method for cross-view geo-localization
T Shen, Y Wei, L Kang, S Wan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The key to crossview geolocalization is to match images of the same target from different
viewpoints, eg, images from drones and satellites. It is a challenging problem due to the …
viewpoints, eg, images from drones and satellites. It is a challenging problem due to the …
Cross-view visual geo-localization for outdoor augmented reality
Precise estimation of global orientation and location is critical to ensure a compelling
outdoor Augmented Reality (AR) experience. We address the problem of geo-pose …
outdoor Augmented Reality (AR) experience. We address the problem of geo-pose …
[HTML][HTML] Co-visual pattern-augmented generative transformer learning for automobile geo-localization
Geolocation is a fundamental component of route planning and navigation for unmanned
vehicles, but GNSS-based geolocation fails under denial-of-service conditions. Cross-view …
vehicles, but GNSS-based geolocation fails under denial-of-service conditions. Cross-view …
MCL-Geo: Multi-branch Contrastive Learning for Cross-view Geo-localizationA multi-branch contrastive learning framework plus uniform cross-view contrastive loss …
M Li, B Sun, N Liu, J Zhou, W Chen, W Yang… - Proceedings of the 4th …, 2023 - dl.acm.org
Cross-view geo-localization aims to match images of the same location taken from different
platforms, such as drones and satellites. However, the altitude differences between the …
platforms, such as drones and satellites. However, the altitude differences between the …