In addition, the performance of the YOLOv2 model was compared to that of prior models.Gunasekaran, P.Pazhani, A. Azhagu JaisudhanRaj, T. Ajith BoscoInformatica (03505596)
Therefore, this paper proposes an improved YOLOv4 deep learning object detection algorithm, WT-YOLOM, for detecting endogenous impurities in walnuts—namely, oily kernels, black spot kernels, withered kernels, and ground nutshells. In the backbone of the model, a lightweight MobileNet module was ...
orchard.Our newly proposed PDWConv demonstrated superior computational efficiency.Introduced PDWFasterNet and DWSConv greatly reduced the model's computation.Introduced EIoU loss was effective to improve the model's accuracy.Our Faster-YOLO-AP model achieved exceptional speed without compromising on ...
To improve lane detection performance in a complicated environment, Haris et al.21 proposed an approach combining visual information and spatial distribution, which improves the grid density of the object detection algorithm YOLOv3 and presented a new lane line prediction model BGRU-Lane. To solve ...
Real-time ship detection system for wave glider based on YOLOv5s-lite-CBAM model The C3 in YOLOv5s is replaced by the combination module of shuffleNetV2 and CBAM's attention mechanism, which greatly reduce the weight of the model ... Lyu Z.,Wang C.,Sun X.,... - 《Applied Ocean ...
4.最后结合在一起,提出SMDC yolov7 ERP-360是由360°鱼眼图像转为的二维等距形投影图像,如下图: MDC-yolov7: 就是简单的将MP模块中conv换为可变形卷积,仔细看了好像就是用的DCNV2的可变形卷积。 Swin-yolov7: 鱼眼图像具有物体近大远小的特点,远离鱼眼镜头的物体会变小。Swin Transformer Block的多头自关...
We proposed a lightweight, improved object detection algorithm, MRD-YOLO, tailored for resource constrained environments. The method builds upon the latest YOLOv8 network, opting for MobileNetV3 as the backbone network to reduce model size. Additionally, a slim-neck design paradigm was employed in ...
This study addresses the problem of detecting occluded apples in complex unstructured environments in orchards and proposes an apple detection and segmentation model based on improved YOLOv8n-SGW-YOLOv8n. The model improves apple detection and segmentation by combining the SPD-Conv convolution module, ...
perform various experiments to demonstrate its validity as a new benchmark for evaluating different object detection methods, and its effectiveness as a pre-training dataset. In particular, as we can see in Tab. 3, a CBNetv2 [28] model with Swin-Ba...
A lightweight road crack detection algorithm based on improved YOLOv7 model Road crack detection plays a crucial role in protecting road safety. However, early manual detection is not only time-consuming and laborious but also high... J He,Y Wang,Y Wang,... - 《Signal Image & Video ...