A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing imagesRemote sensing imagesObject detectionMulti-branch auxiliaryFeature fusionDetecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information...
快速小目标检测--Feature-Fused SSD: Fast Detection for Small Objects Feature-FusedSSD: FastDetectionforSmallObjects 本文针对小目标检测问题,对SSD模型进行了一个小的改进,将 contextual information 引入到SSD中 帮助SSD检测小目标。 contextual information 对于小目标的检测重要性是不言而喻的。小目标在图像中 li...
However, object detection from UAV images has numerous challenges, including significant variations in the object size, changing spatial configurations, and cluttered backgrounds with multiple interfering elements. To address these challenges, we propose SOD-YOLO, an innovative model based on the YOLOv8 ...
However, small object detection has always been a key and difficult problem in the field of object detection. Therefore, considering the balance between the effectiveness and efficiency of the small object detection algorithm, this study proposes an improved YOLOX detection algorithm (BGD-YOLOX) to...
Sun, W., Dai, L., Zhang, X.et al.RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring.Appl Intell52, 8448–8463 (2022). https://doi.org/10.1007/s10489-021-02893-3 Download citation Accepted01 October 2021 ...
Q. LPO-YOLOv5s: a lightweight pouring robot object detection algorithm. Sensors-basel 23, 6399 (2023). Article ADS PubMed PubMed Central MATH Google Scholar Zhou, J., Zhang, Y. & Wang, J. RDE-YOLOv7: an improved model based on YOLOv7 for better performance in detecting dragon ...
更多算法细节参考如下算法流程图 Algorithm of Feature Imitation Branch 最终模型的损失函数可以概括为L=LCRPN+Lcls+Lreg+α3LFI. Experiments Comparison with SOTA on SODA-D comparison with SOTA on SODA-A 一些超参的消融
1. We propose two data augmentation methods to improve the generalization of the algorithm on the scene; 2. We design a backbone network that is suitable for small-object detection and modify the positioning loss function of the one-stage detector to improve detection accuracy; 3. We design a...
provide different image resolutions. Object detectors can apply the detection algorithm at each pyramid level to handle objects at different scales. In Figure 8, an image pyramid-based technique has been applied to an image of the sun. This approach allows the detection of small objects bysearchin...
Zhai X, Huang Z, Li T, Liu H, Wang S (2023) Yolo-drone: an optimized yolov8 network for tiny uav object detection. Electronics 12(17):3664 Google Scholar Sun W, Dai L, Zhang X, Chang P, He X (2021) Rsod: real-time small object detection algorithm in uav-based traffic monitori...