This paper provides a comprehensive review of the YOLO (You Only Look Once) framework up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has revolutionized the field by achieving an optimal balance between speed and accuracy. The rev...
Genexpro Tools software was used to create the GEP model, which predicts the MR of subgrade soil. Genetic operator selection has a major impact on how well genetic-based modelling works. For instance, the crossover rate plays a significant role in the convergence of GEP and MEP models; larger...
better than) humans (Russell and Norvig2020). When a machine exhibits full human intelligence, it is often referred to as ‘general AI’ or ‘strong AI’ (Bostrom
In this section, we introduce the overall framework to identify the states of the sliding chairs based on the improved YOLOv7, as shown in Fig. 3. Firstly, the image data are preprocessed through data enhancement and data annotation. On this basis, by considering the characteristics of the ...
[arXiv] Virchow: A million-slide digital pathology foundation model.[paper][Code] [arXiv] Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation.[paper][Code] [ICCV] Comprehensive multimodal segmentation in medical imaging: combining YOLOv8 with SAM and HQ-SAM models.[paper...
The benefit with Leaky ReLU’s is that the backward pass is able to alter weights which produce a negative preactivation as the gradient of the activation function for inputs $ x \lt 0$ is $\alpha e^x$. For example Leaky ReLU is used in YOLO object detection algorithm. ...
2.2. YOLOv7 architecture The You Only Look Once (YOLO) framework's strengths [22,23,24,25,26] are combined with practical design decisions in the advanced object detection model known as the YOLOv7 architecture [27,28] to produce accurate and immediate object detection. It consists of many...
football-tracking-data-from-TV-broadcast by Mohamed Yousssef - get football tracking data from TV broadcast using yoloV5 Football-Visualisations by casualfantasyfootballer - Rrpository for program files used to produced football analysis visualisations fot-valuing-actions ⭐ by Jan Van Haaren and...
(2023). The research of a novel WOG-YOLO algorithm for autonomous driving object detection. Scientific reports, 13(1), 3699. Costache, R. D., Arabameri, A., Islam, A. R. M. T., Abba, S. I., Pandey, M., Ajin, R. S., & Pham, B. T. (2022). Flood susceptibility ...
YOLO [48] is a CNN-based object detection technique and uses Darknet which is an open source network framework written in C and CUDA. YOLO divides an image into SxS grids and generates B bounding boxes for each of them. Afterward, it predicts the probability of classes for objects and the...