@inproceedings{li2024unleashing, title={Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization}, author={Li, Guopeng and Qian, Ming and Xia, Gui-Song}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={16719--16729}, year={...
Optimal Feature Transport for Cross-View Image Geo-Localization This contains the codes for cross-view geo-localization method described in: Optimal Feature Transport for Cross-View Image Geo-Localization, AAAI2020. Abstract This paper addresses the problem of cross-view image geo-localization, where...
In this paper,we propose a new approach for cross-view image geo-localization, i.e., the Panorama-BEV Co-Retrieval Network. Specifically, by utilizing the ground plane assumption and geometric relations, we convert street view panorama images into the BEV view, reducing thegap between street ...
This work addresses visual cross-view metric localization for outdoor robotics. Given a ground-level color image and a satellite patch that contains the local surroundings, the task is to identify the location of the ground camera within the satellite pa
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization Sijie Zhu, Mubarak Shah, Chen Chen Center for Research in Computer Vision, University of Central Florida sizhu@knights.ucf.edu, shah@crcv.ucf.edu, chen.chen@crcv.ucf.edu Abstract ...
If you're developing applications that target multiple languages and cultures, you probably know how challenging it can be to manage the resources for each localization. You need to keep track of all the strings, images, icons, and other assets that are specific to each culture, and make sure...
Given a point cloud generated by over-view sources and a point cloud collected from the street-view images by a monocular camera (with very limited or no geo-referencing information), we define the cross-view 3D point cloud registration as to precisely register the street-view point clouds to...
From a spatial view, the majority were malignant_zone spots, which dominated the central part of the sections. The normal hepatocytes wrapped around the section as adjacent liver tissue. The most infiltrated cell type in the TME was the myeloid linage macrophage, while there were few tumor-...
Lending Orientation to Neural Networks for Cross-view Geo-localization This contains the ACT dataset and codes for training cross-view geo-localization method described in: Lending Orientation to Neural Networks for Cross-view Geo-localization, CVPR2019. Abstract This paper studies image-based geo-loca...
GAMa: Cross-view Video Geo-localization. Contribute to svyas23/GAMa development by creating an account on GitHub.