Drone View Target Localization On University 1
المقاييس
AP
Recall@1
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | AP | Recall@1 |
|---|---|---|
| a-transformer-based-feature-segmentation-and | 84.82 | 82.25 |
| joint-representation-learning-and-keypoint | 70.23 | 66.13 |
| cv-cities-advancing-cross-view-geo | 95.01 | 97.43 |
| university-1652-a-multi-view-multi-source | 63.13 | 58.49 |
| a-novel-geo-localization-method-for-uav-and | 93.31 | 91.57 |
| understanding-image-retrieval-re-ranking-a | 74.11 | 70.3 |
| joint-representation-learning-and-keypoint | 80.55 | 77.60 |
| sample4geo-hard-negative-sampling-for-cross | 93.81 | 92.65 |
| each-part-matters-local-patterns-facilitate | 79.14 | 75.93 |
| orientation-guided-contrastive-learning-for | 96.88 | 96.13 |
| joint-representation-learning-and-keypoint | 75.79 | 72.19 |