Introduces a lunar cross-view geo-localization benchmark with rendered panoramas and overhead tiles, then evaluates a transformer-based retrieval method on it.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A two-stage RGB-T detector performs lightweight modality-specific proposal generation followed by sparse fusion-based refinement to match accuracy of heavier models at lower parameter and compute cost.
citing papers explorer
-
Learning Cross-view Correspondences for Geo-localization on Planetary Surfaces
Introduces a lunar cross-view geo-localization benchmark with rendered panoramas and overhead tiles, then evaluates a transformer-based retrieval method on it.
-
Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
A two-stage RGB-T detector performs lightweight modality-specific proposal generation followed by sparse fusion-based refinement to match accuracy of heavier models at lower parameter and compute cost.