The prediction head based on the attention mechanism can learn different features for different tasks. Experimental results on the public datasets and collected ...

In this paper, we propose a novel object detection method based on YOLOX [20], namely UAV-YOLOX, to improve the object detection performance for UAV images. We ...

This paper proposes an accurate object detection method for UAV images, named UAV-YOLOX, by proposing some improvements to modify the state-of-the-art YOLOX ...

This modification not only improves the detection speed of the model but also effectively addresses the issue of overfocusing on negative samples in complex ...

A UAV aerial photography object detection algorithm YOLOX_w with improved YOLOX-X is proposed to handle the characteristics of complex backgrounds and the large ...

Sep 8, 2024 · This paper proposes an object detection algorithm for rotary-wing UAVs based on a transformer network. A self-attention mechanism is used to ...

Experimental results on the VisDrone dataset demonstrate that the detection accuracy of the proposed YOLOX_w algorithm improved by 8% when compared with the ...

When applied to UAV aerial images with complex backgrounds, BiFPN prevents critical information from being lost during feature layer transitions, providing a ...

Oct 11, 2022 · In this paper, the algorithm is modified and the YOLOX w algorithm is proposed for detecting aerial images obtained by UAVs. 3 Proposed method.

This algorithm not only incorporates a lightweight network model but also enhances the detection accuracy of aerial images in drone scenarios. Since the ...