Calibrating Retrieval Geometry: Reliability-Guided Training-Free Aggregation for Visual Place Recognition
cs.CV
Submitted: 2026-09-22
Updated: 2026-09-22
Code: https://github.com/UAV-AVL/Benchmark
Project page: https://crossloc.github.io
Terminology
Sources
- Beyond First-Order: Learning Riemannian Geometries for Invariant Visual Place Recognition
- Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
- A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
- VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments
- DINOv3
- UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models