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Aerial images have distinct characteristics, such as varying target scales, complex backgrounds, severe occlusion, small targets, and dense distribution. As a result, object detection in aerial images faces challenges like difficulty in extracting small target information and poor integration of spatial and semantic data. Moreover, existing object detection algorithms have a large number of parameters, posing a challenge for deployment on drones with limited hardware resources. We propose an efficient small-object YOLO detection model (ESOD-YOLO) based on YOLOv8n for Unmanned Aerial Vehicle (UAV) object detection. Firstly, we propose that the Reparameterized Multi-scale Inverted Blocks (RepNIBMS) module is implemented to replace the C2f module of the Yolov8n backbone extraction network to enhance the information extraction capability of small objects. Secondly, a cross-level multi-scale feature fusion structure, wave feature pyramid network (WFPN), is designed to enhance the model's capacity to integrate spatial and semantic information. Meanwhile, a small-object detection head is incorporated to augment the model's ability to identify small objects. Finally, a tri-focal loss function is proposed to address the issue of imbalanced samples in aerial images in a straightforward and effective manner. In the VisDrone2019 test set, when the input size is uniformly 640 × 640 pixels, the parameters of ESOD-YOLO are 4.46 M, and the average mean accuracy of detection reaches 29.3%, which is 3.6% higher than the baseline method YOLOv8n. Compared with other detection methods, it also achieves higher detection accuracy with lower parameters.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11548238 | PMC |
http://dx.doi.org/10.3390/s24217067 | DOI Listing |
Hum Brain Mapp
December 2024
Institute of Cognitive Neuroscience, Department of Biopsychology, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany.
Learning new categories is fundamental to cognition, occurring in daily life through various sensory modalities. However, it is not well known how acquiring new categories can modulate the brain networks. Resting-state functional connectivity is an effective method for detecting short-term brain alterations induced by various modality-based learning experiences.
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December 2024
Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Unlabelled: Valproic acid (VPA) demonstrates teratogenic effects during pregnancy. Prenatal exposure to VPA may result in autism spectrum disorder (ASD) -like phenotypes. Apigenin, a natural flavonoid, has been shown to have neuroprotective impacts due to its antioxidant properties.
View Article and Find Full Text PDFVital signs such as heart rate (HR) and respiration rate (RR) are essential physiological parameters that are routinely used to monitor human health and bodily functions. They can be continuously monitored through contact or contactless measurements performed in the home or a hospital. In this study, a contactless Doppler radar W-band sensing system was used for short-range, contactless vital sign estimation.
View Article and Find Full Text PDFHealthc Technol Lett
December 2024
Ecole Supérieure Polytechnique Dakar Senegal.
Percutaneous nephrostomy can be an effective means of preventing irreparable renal damage from obstructive renal disease thereby providing patients with more time to access treatment to remove the source of the blockage. In sub-Saharan Africa, where there is limited access to treatments such as dialysis and transplantation, a nephrostomy can be life-saving. Training this procedure in simulation can allow trainees to develop their technical skills without risking patient safety, but still requires an ex-pert observer to provide performative feedback.
View Article and Find Full Text PDFTissue Cell
December 2024
Department of Electronics and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310 UTM, Malaysia.
Malaria is endemic in poverty-stricken regions of the world, and most diagnosis reveal comorbidity with other infectious diseases some of which manifest as a deformity of the structural arrangement of the Red Blood Cells (RBCs) during thin blood smear microscopy. This common occurring deformity is termed rouleaux formation, and it is the stacking together of RBCs like chains of coins. The presence of rouleaux formation indicates either a bacterial infection, connective tissue disease, chronic liver disease, multiple myeloma or diabetes among others, it is a highly common occurrence in malaria infected patients and according to the international council for standardization of hematology (ICSH), microscopists are mandated to report its presence.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!