Abstract: With the improvement of remote sensing image resolution and the advancement of deep learning, the single-stage detectors have been widely adopted in remote sensing object detection due to ...
This project aims to demonstrate how to configure visible and infrared datasets to accommodate multimodal object detection tasks based on YOLOv11. With three different configuration methods (directory ...
Abstract: Multimodal object detection plays a crucial role in all-weather and multiscene applications of aerial imagery. Existing studies mainly focus on multimodal fusion and interlevel feature ...
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