Target Vessel Identification in Aerial Search Imagery via MLLM-Based Attribute Extraction and Geolocation Fusion
Results show that coarse semantic cues, when combined with approximate geolocation, provide a resilient basis for identifying target vessels under high uncertainty, enabling faster and more reliable prioritization during wide-area maritime search operations.