Aug 2026· Journal of the Indian Society of Remote Sensing· Vol 54, pp. 4311 - 4328· 0 citations· 22 references
TL;DR
A global–local Transformer head, alternating depthwise convolutions with sparse self-attention, restores the small-target recall normally lost in attention-heavy designs, while CycleGAN-based cross-modal synthesis and an improved NMS-Free pipeline complete the training and inference path.
These results support improved accuracy under the specified controlled RGB corruptions, while not establishing universal real-weather or cross-modal robustness, while not establishing universal real-weather or cross-modal robustness.
Yang Zhong, Xiu-Zai Zhang, Juan-Juan Ji et al.· Remote Sensing· 0 citations
After dataset-specific training and evaluation on the markedly different TinyPerson benchmark, HSF-Net outperforms YOLOv11s by 5.2 percentage points in mAP50, indicating that its relative performance advantage persists under a substantially different target-scale distribution and maritime background.
HD-YOLO improves small-object detection with a compact parameter footprint, while direct hardware benchmarks remain necessary to establish deployment efficiency.
Maosheng Sun, Jing Ding, Yang Zhang et al.· Applied Sciences· 0 citations
This work proposes LSO-YOLO, a novel real-time detector optimized for UAV-based small-object detection that significantly reduces parameter count and computational cost by approximately 67% and 18.18%, respectively, while maintaining a high inference speed of 126 FPS on an NVIDIA RTX 3060 GPU, meeting the requirements...
Peng-Fei Dai, Liang Chen, Yang-Wu Lian et al.· Journal of Real-Time Image P...· 0 citations
A lightweight, high-precision framework extending the YOLOv11 architecture, integrating Progressive Channel-wise Self-Attention and Dynamic Tanh, which provides a practical and efficient solution for real-time aerial surveillance at night.
Hongbo Wang, Jiadi Qu, Da Yang et al.· IEEE Access· 0 citations
This work proposes RAD-YOLO, a YOLOv8s-based small-object detector, and develops an edge-deployable variant named RAD-YOLO-Slim, which provides a practical balance of accuracy, speed and energy efficiency on the RK3576 platform.
Shuai-Jie Nie, Jia-Jian Yang, Xin He et al.· Engineering Research Express· 0 citations
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