[HTML][HTML] Multi-UAV collaborative absolute vision positioning and navigation: a survey and discussion
P Tong, X Yang, Y Yang, W Liu, P Wu - Drones, 2023 - mdpi.com
The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
Remote sensing image retrieval in the past decade: Achievements, challenges, and future directions
Remote sensing image retrieval (RSIR) aims to search and retrieve the images of interest
from a large remote sensing image archive, which has remained to be a hot topic over the …
from a large remote sensing image archive, which has remained to be a hot topic over the …
Adaptive subspaces for few-shot learning
Object recognition requires a generalization capability to avoid overfitting, especially when
the samples are extremely few. Generalization from limited samples, usually studied under …
the samples are extremely few. Generalization from limited samples, usually studied under …
Transgeo: Transformer is all you need for cross-view image geo-localization
The dominant CNN-based methods for cross-view image geo-localization rely on polar
transform and fail to model global correlation. We propose a pure transformer-based …
transform and fail to model global correlation. We propose a pure transformer-based …
Orienternet: Visual localization in 2d public maps with neural matching
Humans can orient themselves in their 3D environments using simple 2D maps. Differently,
algorithms for visual localization mostly rely on complex 3D point clouds that are expensive …
algorithms for visual localization mostly rely on complex 3D point clouds that are expensive …
Cross-view geo-localization with layer-to-layer transformer
H Yang, X Lu, Y Zhu - Advances in Neural Information …, 2021 - proceedings.neurips.cc
In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …
geospatial location of a street view image by matching it with a database of geo-tagged …
Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization
V Vivanco Cepeda, GK Nayak… - Advances in Neural …, 2024 - proceedings.neurips.cc
Worldwide Geo-localization aims to pinpoint the precise location of images taken anywhere
on Earth. This task has considerable challenges due to the immense variation in geographic …
on Earth. This task has considerable challenges due to the immense variation in geographic …
Coming down to earth: Satellite-to-street view synthesis for geo-localization
The goal of cross-view image based geo-localization is to determine the location of a given
street view image by matching it against a collection of geo-tagged satellite images. This …
street view image by matching it against a collection of geo-tagged satellite images. This …
Each part matters: Local patterns facilitate cross-view geo-localization
Cross-view geo-localization is to spot images of the same geographic target from different
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …
Beyond cross-view image retrieval: Highly accurate vehicle localization using satellite image
This paper addresses the problem of vehicle-mounted camera localization by matching a
ground-level image with an overhead-view satellite map. Existing methods often treat this …
ground-level image with an overhead-view satellite map. Existing methods often treat this …