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Drone Navigation On University 1652 1
Drone Navigation On University 1652 1
Metriken
AP
Recall@1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
AP
Recall@1
Paper Title
FSRA
81.53
87.87
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
LPN + USAM
75.96
86.59
Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
LPN
74.79
86.45
Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
SAFA + USAM
71.77
83.23
Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
RK-Net
65.76
80.17
Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
Instance Loss
58.74
71.18
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
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Drone Navigation On University 1652 1 | SOTA | HyperAI