GRASP: Granularity-Aware Region Alignment and Semantic Prototype Learning for Fine-Grained Cross-Modal Understanding in Drone Views
The Granularity-Aware Region Alignment and Semantic Prototype (GRASP) learning framework is proposed, enhancing discriminative capability through two synergistic strategies, and Semantic Perturbation Enhanced Matching (SPEM), which leverages a foreground-purified Semantic Prototype Codebook to construct semantically pe...