An improved YOLOv8 lightweight detail dynamic fusion algorithm (LDDF-YOLO) is proposed, to remedy the insufficient adaptation capability of vanilla lightweight YOLOv8 in remote sensing object detection tasks and possesses robust detection performance in challenging remote sensing scenarios with dense small targets and complex backgrounds.
MELRNet is proposed, a Mamba-enhanced lightweight framework for remote sensing rotated object detection, where Mamba-style state space modeling is introduced into key semantic stages to capture long-range dependencies with linear complexity.
Ji-Yang Dong, Peipei Song, Yongchao Song et al.· IEEE Journal of Selected Top...· 0 citations
MFRA-YOLOv11, an enhanced YOLOv11s-based network for remote sensing small object detection under the horizontal bounding box paradigm, which integrates multiscale feature extraction and object region awareness to improve detection accuracy.
Wei Huang, Qiang Zhou, Lu Gao et al.· Remote Sensing· 0 citations
Small-objectdetection in remote sensing images remains challenging due to insufficient feature representation, weak texture information, complex backgrounds, and high sensitivity to localization errors. To address these issues, this article proposes a frequency–spatial collaborative enhancement detector, multilevel wav...
Object detection in remote sensing images is critical for disaster monitoring, urban planning, and low-altitude defense. However, challenges such as extremely small target scales, complex background interference, and limited edge computing power hinder the performance of standard algorithms. This paper provides a syste...
Ke Gu· International Conference on...· 0 citations
To address the issues of large scale variation, weak features of small objects, and complex background interference in optical remote sensing images, this paper proposes an attention-guided adaptive multi-scale fusion object detection method. In the feature extraction network, a Multi-scale Feature Extracted Module (MF...
In the task of rotating target detection in remote sensing images, there are problems such as large scale change, arbitrary direction distribution, and vulnerability to complex background, occlusion and dense arrangement. The existing rotating target detection models usually have problems such as large number of parame...
Lin-Lin He, Rong-Chen Ma· International Conference on...· 0 citations
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