A gated feature fusion net is designed to reduce model parameters and a small object detection pyramid is implemented to preserve high-resolution details and integrate a mini-kernel that utilizes a lossless down-sampling module for deep feature optimization.
An Inner-SIoU loss is proposed by combining Inner-IoU with SIoU, improving localization accuracy, convergence speed, and robustness in complex scenes, and an Inner-SIoU loss is proposed by combining Inner-IoU with SIoU, improving localization accuracy, convergence speed, and robustness in complex scenes.
Improved PF-DETR improves the model’s robustness and accuracy in detecting multi-scale and small targets in complex and cluttered scenes, resulting in a favorable balance between detection performance and model efficiency.
This paper proposes MPC-DETR, a Multi-scale Patch Context Transformer that is based on RT-DETR and suggests that MPC-DETR provides precise, strong, and efficient small-object detection in complicated UAV images.
SSM-YOLO11s is proposed, a lightweight model optimized for small object detection in aerial imagery that achieves a superior balance between precision and efficiency compared to state-of-the-art models.
Junfu Chen, Xi Zhao· International Conference on...· 0 citations
MSF-DETR is proposed, a multi-scale feature enhancement framework built on RT-DETR that integrates four coordinated components: an Enhanced Feature Connection module for adaptive cross-scale interaction, a Feature Channel Attention module for frequency-domain discriminative enhancement, a Reinforced Attention Feedback...
Shan Dan, Zan-Qi Qiu, Da-Di Cai et al.· Italian National Conference...· 0 citations
Small-object detection in unmanned aerial vehicle (UAV) remote sensing imagery is challenged by dense target distributions, substantial scale variation, complex ground backgrounds, and limited edge-computing resources. To address these challenges, we propose CDF-DETR, an end-to-end detector derived from the Real-Time D...
