However, the model has the problems of high missed detection rate and slow detection speed. Yun et al.[15] proposed a lightweight forest fire detection model FFYOLO based on YOLOv8. The model enhances the extra
Firstly, an extra small target detection layer was added to YOLOv8, which significantly improves the small target detection accuracy. In addition, in order to enhance the detection speed of the model, the RepVGG/RepConv ShuffleNet (RCS) and a OneShot Aggregation of...
To overcome the challenge of the flight altitude being too high to detect the landing target, this paper first detects large-volume targets, followed by the precise identification of smaller targets, achieving enhanced recognition accuracy and speed through an improved YOLOv8 OBB algorithm. To ...
exhibiting advantages in detection accuracy and speed. Because the foreign-object-detection model for high-voltage transmission lines will be integrated into the hardware of the drone platform in the later stage, we are considering using the YoloV8m lightweight model and modifying it to make it mo...
exhibiting advantages in detection accuracy and speed. Because the foreign-object-detection model for high-voltage transmission lines will be integrated into the hardware of the drone platform in the later stage, we are considering using the YoloV8m lightweight model and modifying it to make it mo...
2.3.1. YOLO-ALW Network Construction The YOLOv8 architecture, known for its real-time object detection performance, uses a CSPDarknet53 backbone with the C2f module, which replaces the traditional CSPLayer to improve feature extraction and small object detection. Its Neck incorporates the Spatial...
However, the full potential of DETR has yet to be realized compared to CNN-based detectors. This has led to the proposal of various enhanced and generalized methods for DETR. For instance, Deformable DETR improves convergence speed and performance on small objects by integrating a Multi-Scale ...
However, the full potential of DETR has yet to be realized compared to CNN-based detectors. This has led to the proposal of various enhanced and generalized methods for DETR. For instance, Deformable DETR improves convergence speed and performance on small objects by integrating a Multi-Scale ...
However, the full potential of DETR has yet to be realized compared to CNN-based detectors. This has led to the proposal of various enhanced and generalized methods for DETR. For instance, Deformable DETR improves convergence speed and performance on small objects by integrating a Multi-Scale ...
The improved algorithm is deployed on the server side to assist corn growers in determining the pest species, and experiments are conducted based on YOLOv8 as follows: In this study, the SPPF module in YOLOv8 is substituted with the proposed SPCPM, therefore augmenting the depth of the ...