Attention from Above: A Multimodal Model for Drone-Based Object Localization

Name: Attention from Above: A Multimodal Model for Drone-Based Object Localization
Uploaded: 2026-10-07T22:37:34.909541+00:00
Duration: 1050 s
Description: This model improves small object detection in drone imagery by modifying YOLOv8 with attention-based A2C2f layers and integrating text prompts via a vision-language PAN module. By enhancing local feature representation and fusing visual data with language, the system achieves significant gains in precision, recall, and mAP on the VisDrone dataset.

This model improves small object detection in drone imagery by modifying YOLOv8 with attention-based A2C2f layers and integrating text prompts via a vision-language PAN module. By enhancing local feature representation and fusing visual data with language, the system achieves significant gains in precision, recall, and mAP on the VisDrone dataset.

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